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Do you want to be part of a team developing new products and features using cutting edge technologies? We want you to join us on our journey to innovate for a smarter, safer world. Location: Lund, Sweden Who is your future team? Working together in a team, you will be a part of how our new multi-channel cameras come to life. We are responsible for the image quality in products aiming for a smarter, safer world. You will be collaborating with co-workers from different disciplines, such as mechanical design, electronics, software, production testing and more. As an Image Engineer at Axis, you will play an essential part in the development of our new products. You will work together in teams of dedicated engineers, to solve image related challenges in our network video products. We have very close co-operation, and a friendly team-spirit at Axis, ensuring an agile development of market-leading products. We strongly believe in knowledge sharing and insights. It's a great part of our culture! What you'll do here as Product Image Engineer? As an Image Engineer at Axis you will work in cross functional teams to develop new cameras from a concept phase to a complete product. Your responsibility will be to optimize the image in regards to optics, image sensors and signal processing. It will also require writing production tests, making sure that our image quality is state-of-the-art. The position of Image Engineer is very broad and you will cooperate with many different roles and organizations at Axis. Your main tasks will be: Optimizing image quality in the projects that develop new cameras. This is done using exposure and focus algorithms, noise filtering, white balance- and color-calibration Participating and contributing to the choice of optics and image sensors. This is done in cooperation with the mechanics and electronics teams as well as external partners Testing cameras, optics and image sensors during development in the lab, but also in real environments both indoor and outdoor Developing prototypes, in cooperation with hardware and mechanics engineers, for the purpose of testing and optimizing the image Assisting in development of the camera firmware Developing and improving our production tests and calibration of our image system Who are we looking for? You are curious and passionate about technology, love challenges and enjoy solving them in a team-focused atmosphere. We also believe that you have a personal drive and are inspired by working in an environment of openness, creativity, trust, commitment, playfulness, and encouragement. As Axis values teamwork it is important that you contribute with good spirit and welcome the agile working methodologies used in our projects. We'd love to hear if you have any combination of these skills: An engineering master's degree in physics, nano, mathematics engineering, computer science, electrical engineering or equivalent Knowledge in optics, image sensors, IR filters and IR diodes Experience of C and/or C++ Experience of programming in Python Development of software in a Linux environment Knowledge of image processing algorithms Advanced mathematics and statistics What Axis has to offer We are a world leader in network video, where cutting-edge technology meets global impact. Here, you'll contribute to meaningful projects that shape the future of security and surveillance - developing solutions used worldwide. As a fast-growing company, we offer exciting career opportunities. You'll grow professionally through continuous learning, supported by a collaborative team that values creativity, innovation, and work-life balance. Our Lund HQ Campus, including the impressive Grenden building, offers a dynamic environment with spaces crafted to encourage collaboration, whether through informal "fika" chats, formal meetings, or after-hours activities. Check it out: Axis HQ Your well-being matters to us. We offer a range of benefits, including a company bonus, Friday cake, wellness allowance, health insurance - and even your own Axis bicycle. To learn more about Axis, our innovative products, solutions, and vibrant company culture, explore: Life at Axis blog Engineering at Axis blog Innovation at Axis Ready to Act? Axis is a company realizing the benefits of a diverse workforce. We know that diversity in groups creates a better working environment and promotes creativity, something that is fundamental for our success. We welcome all applications. Apply today, we evaluate applications continuously. We are looking forward to meeting you! Vacation is important! At Axis we value work-life balance and that means that during summer many of us are on a well-deserved vacation. During this period of time, you can expect some delay in our response, but we will get back to you as soon as possible! If you have any questions don´t hesitate to contact Adam Miller at +46 46 272 1800.
About the company: Navinci is a Swedish biotech company developing innovative technologies to study protein interactions in their native spatial context, with a strong legacy in in situ proximity ligation assay technology and a broad portfolio of products for spatial proteomics. About the role: We are looking for a Senior Data Scientist in image analysis to join Navinci and build scalable, automated pipelines for spatial interactomics. You will take strong ownership in designing and advancing computational methods, with a focus on creating robust, reproducible workflows that incorporate rigorous quality control and leverage deep learning to address complex biological questions. The work will support both internal R&D and external collaborations. You will be part of a highly skilled, and growing team, playing a key role in advancing pipeline development and computational innovation. The role requires both independent problem-solving and effective collaboration in a dynamic environment, helping position Navinci at the forefront of spatial biology and emerging AI technologies. Key Responsibilities Design, develop, and maintain scalable, automated analysis pipelines and reproducible workflows with robust quality control for spatial interactomics data. Develop novel computational methods and apply deep learning to address complex biological questions and enable new analysis capabilities. Build internal tools and contribute to best practices in pipeline design, reproducibility, and code quality. Collaborate with multidisciplinary teams and external partners to translate biological problems into computational solutions. Mentor and guide junior team members while contributing to a collaborative, adaptive, and high-performing team environment. Work effectively in a dynamic environment with adaptability, independence, and strong collaboration, while staying current with advances in spatial omics and AI (e.g., agentic/LLM-based workflows). Qualifications Required: PhD in Computational Biology, Bioinformatics, Computer Vision, or a related field (or equivalent industry experience). Strong understanding of spatial omics data and associated analysis challenges. Demonstrated ability to design and develop robust, reproducible computational methods and pipelines, including components such as image processing, clustering, spatial analysis, statistical analysis and data visualization. Strong proficiency in Python, with experience developing production-quality code for data analysis and pipeline development. Proven, hands-on experience in developing and applying deep learning models, using machine learning frameworks (e.g., PyTorch, Scikit-learn). Ability to independently solve complex, open-ended problems. Strong communication and collaboration skills in interdisciplinary environments. Preferred: Industry experience in image analysis methods and/or pipeline development is a strong plus. Experience with agentic workflows, AI agents, or LLM-based systems. Experience applying best practices in scientific programming and/or software engineering (e.g., testing, debugging, version control, CI/CD). Experience with GPU programming and performance optimization. Experience with high-throughput computing such as HPC or cloud computing. Experience with tool development, UI/UX, or containerization (e.g., Docker). What We Offer Opportunity to shape scientific direction in a cutting-edge company. Agile teams with fast decision-making and direct impact. Dynamic environment with growth and leadership potential. Close collaboration across R&D, product, and commercial teams. Applications will be reviewed on a rolling basis.
About the Role ManoMotion is looking for a highly skilled Computer Vision Engineer to develop robust, high-performance vision solutions for real-world applications. Our AI Engineers manage the day-to-day work related to neural-network architecture, training, testing, and data management. This role will work closely with them while focusing more deeply on the complete computer-vision system. You will combine machine learning with advanced image analysis, detection, tracking, geometry, filtering, and algorithmic methods to improve the accuracy, stability, latency, and reliability of our products. We are looking for someone who understands that a production-ready vision solution often requires more than a neural network. You should be able to identify model limitations and build additional processing, tracking, filtering, calibration, and decision logic around the AI models to achieve a reliable final product. You will also take technical ownership of customer solutions, from understanding requirements and designing the system to implementation, deployment, and validation. Responsibilities Design complete computer-vision solutions combining AI/ML, image processing, tracking, geometry, and rule-based algorithms. Develop algorithms for image analysis, object detection, segmentation, motion analysis, pose estimation, and tracking. Build pre-processing and post-processing layers around AI models to improve accuracy, stability, and robustness. Analyse failure cases and determine whether they should be addressed through model improvements, additional data, tracking, filtering, image processing, or system-level logic. Work closely with AI Engineers responsible for model architecture, training, testing, and datasets. Integrate trained models into reliable, real-time computer-vision systems. Optimize vision pipelines for latency, frame rate, memory usage, and edge hardware. Take end-to-end technical ownership of customer solutions and integrations. Participate in customer meetings, technical workshops, demonstrations, and on-site validation. Build maintainable, testable, and production-quality software. Use modern AI-assisted development tools such as Cursor, Claude, ChatGPT, Copilot, and other relevant tools to accelerate development, testing, debugging, and documentation. Stay updated on advances in computer vision, machine learning, and AI-assisted software development. Key Qualifications Master’s degree, PhD, or equivalent professional experience in Computer Science, Computer Vision, Electrical Engineering, Robotics, Machine Learning, or a related field. At least 3 years of professional experience developing computer-vision or AI-based products. Strong practical knowledge of image processing, object detection, segmentation, tracking, motion analysis, geometry, and camera systems. Good understanding of deep learning, neural-network training, model evaluation, and data management. Proven ability to combine machine-learning models with traditional computer-vision algorithms and system-level logic. Strong programming skills in Python and experience with OpenCV, NumPy, PyTorch, TensorFlow, or similar frameworks. Good knowledge of C++ and high-performance software development. Experience deploying and optimizing models using technologies such as ONNX, TensorRT, CUDA, OpenVINO, or similar tools. Experience developing real-time vision systems for edge devices or computationally constrained hardware. Strong debugging, problem-solving, and software-engineering skills. Ability to work independently and take ownership of complex technical solutions. Excellent English communication skills and confidence interacting directly with customers. Preferred Qualifications Experience with object tracking, temporal filtering, sensor fusion, or multi-camera systems. Experience with camera calibration, 3D geometry, depth estimation, or pose estimation. Experience with NVIDIA Jetson or other embedded GPU platforms. Experience in industrial, robotics, automotive, safety, or human-machine interaction applications. Experience working with challenging real-world conditions such as occlusion, poor lighting, motion blur, and changing environments. Experience with Docker, CI/CD, cloud platforms, MLOps, or model monitoring. The Profile We Are Looking For You are a strong problem-solver who enjoys turning advanced computer-vision technology into dependable products. You understand AI models and training, but your main strength is designing the complete system around the model. When the neural network alone is not enough, you know how to add tracking, filtering, image processing, geometric reasoning, calibration, and decision logic to make the final product work reliably. You are comfortable working across algorithms, software, hardware constraints, and customer requirements, and you take ownership of the overall result.
Job Scope High level purpose of function. A Vision Automation Engineer in a cell manufacturing company plays a key role in developing, optimizing, reverse-engineering, and maintaining machine vision and optical inspection systems to ensure safe, reliable, and efficient operations. They are responsible for programming, troubleshooting, and improving cameras, lighting configurations, and image processing algorithms, supporting both legacy production line re-commissioning and new vision system installations. The role also includes ensuring accurate data transfer, system connectivity, and smooth communication with PLCs, SCADA, and upper-level MES platforms to enable inline defect traceability, dimensional inspection, and digital integration. Close collaboration with production, engineering, and maintenance teams is required to identify and implement solutions that improve quality, throughput, and equipment uptime. A strong focus is placed on continuous improvement, safety, and scalability to meet the growing demand for electric vehicle battery production. Key Responsibilities Overall areas of responsibilities and activities Key responsibilities include (but are not limited to) Participate in HAZOP sessions and ensure compliance with process safety, operational safety, and environmental standards relating to equipment control and programming. Responsible for the FATs of the equipment (Project timeline dependent). Lead vision system integration and optical calibration during equipment commissioning and line re-starts (Project timeline dependent). Develop and reverse-engineer the vision inspection systems to be implemented in the production and logistics equipment in the factory, as well as the relevant specifications and documentation. Author and review engineering design documentation (Specifications, Functional design, Logic diagrams, Test Cases, Test Records). Train and mentor new engineers, and educate other support functions on machine vision, optics, and quality inspection gates. Code review and test of suppliers' vision software and algorithmic work within the projects to validate specified defect detection thresholds (Gauge R&R) and to ensure the quality and reliability of the data transferred from the equipment to the upper-level systems. Participate in R&D activities for piloting of new technologies and their suitability to production environments. Define and improve the factory blueprint, general specifications and ways of working in collaboration with the extended automation and digitalization teams. (Project timeline dependent). Contribute to technical improvements, development and optimization of software processes internally in the automation team The role requires regular presence on the production floor, with a minimum of approximately 25% of working hours spent on-site. Depending on project needs (such as line re-commissioning), there may be periods where up to 100% of working hours are required on the shop floor. Develop and maintain machine vision and image processing programming standards. Guide and mentor colleagues to industrial best practices, focussing on growth and development. Complete supplementary tasks as seen fit by management to effectively utilize time and resource for the benefit of the business. Requirements Educational background and previous experience required for the role Qualifications and Experience Bachelors Degree in Electronics, Mechatronics, Electrical, Automation, Robotics, Software Engineering or similar. Minimum of 3 years of relevant work experience within Industrial Automation in process-driven or discrete manufacturing industries such as: Battery Cell, Automotive, Chemical, Paper, Semiconductors, Pharma, Food, Warehouses, etc. Experience of working with industrial camera systems, optical components, and lighting techniques, including the selection, configuration, and calibration of camera hardware for manufacturing inspection and process control applications Experience in the design, configuration, and deployment of machine vision systems including cameras, lighting, and vision software platforms such as Cognex, Halcon, or equivalent, with experience integrating vision outputs into PLC, SCADA, and MES environments via OPC connectivity. Experience developing and optimising image processing pipelines and vision algorithms for applications such as defect detection, pattern recognition, and dimensional verification, with familiarity with industrial communication protocols for vision system integration. Experience in writing technical documentation including inspection requirement specifications, algorithm validation reports, vision system configuration records, functional design, UML, test cases, and test records. Experience with image processing software and programming tools relevant to industrial vision applications, such as Python, C++, OpenCV, or equivalent vision libraries, with the ability to develop, test, and optimise vision algorithms for real-time manufacturing environments Experienced continuous improvement and root cause analysis. Specific skills Strong knowledge of mechanical, electrical, hydraulic, and pneumatic systems. Knowledge of cybersecurity best practices for manufacturing systems. Troubleshooting skills with diagnostic equipment. Ability to document technical problems concisely. Excellent English skills, both written and oral, are essential. Basic Swedish and other language skills are a plus. You should have good communication skills and be able to work in close collaboration with colleagues from many different teams. Ability to work within varying environments including clean-rooms and dry-rooms, while wearing appropriate PPE. Comfortable operating in high-profile, international, and high-pressure environments. A genuine technical interest and passion about working within production is highly valued.
Are you looking for a broad People role where you can combine operational HR work, recruitment, employer branding, and close collaboration with managers in an international environment? Do you enjoy variety, building relationships, and contributing to an organization that is continuously evolving? Are you also curious about how digital tools, AI, and new ways of working can strengthen the People agenda? If so, this opportunity at SICK could be the right next step for you. About the company SICK in Linköping is part of the global SICK Group, a technology company with more than 10,000 employees worldwide. The Linköping site serves as an international competence and innovation center within industrial image processing and sensor technology, developing software and solutions related to industrial cameras, sensors, and robotics. The organization consists of approximately 90 employees and operates in a highly international environment with close collaboration across development teams, sales organizations, and specialist functions throughout the SICK Group. As an innovation center, SICK works closely with Linköping University and local innovation ecosystems, contributing to the development of future technologies and competencies. Openness, collaboration, and curiosity are central parts of the culture, creating an environment where people are encouraged to contribute, learn, and grow. The Role As People Business Partner, you will play an important role in supporting managers and employees across a broad range of HR-related topics, while also helping to drive and coordinate key initiatives within the People area. This is a varied role where you will combine day-to-day support with longer-term activities such as recruitment, employer branding, talent development, and process improvements. You will work closely with managers, supporting them in employee-related matters and ensuring that key processes are delivered in a structured and effective way. You will be part of the local People team and report to the People Manager Nordics. The role offers close collaboration with colleagues across Sweden, the Nordics, and the wider global People organization, while remaining firmly connected to the local business in Linköping. The organization is in a phase of development, with a growing focus on competence planning, employer branding, and modern ways of working. This creates opportunities for someone who enjoys contributing ideas, driving improvements, and exploring how digital tools, AI, and data can support the future of People work. Key Responsibilities Some of your key responsibilities will include: Drive and support recruitment activities and employer branding initiatives Represent SICK at employer branding events and support initiatives aimed at attracting future talent Act as a trusted advisor to managers and employees on People-related matters Contribute to organizational development and support change initiatives when needed Support the implementation of global People processes, policies, and systems Contribute to the continuous development of People processes and ways of working, exploring how digital tools, AI, and data can support efficiency, decision-making, and the employee experience Your Profile You are a relationship-oriented and proactive People professional who enjoys working close to the business and supporting both managers and employees. You are comfortable balancing structure with flexibility and enjoy working in an environment where priorities may shift and new initiatives emerge. Rather than needing every day to look the same, you are motivated by variety and appreciate being part of an organization that is continuously developing. To succeed in this role, you likely bring: A university degree in Human Resources, Behavioral Science, or a related field Around five years of experience in a broad People or HR generalist role Experience supporting managers in both operational and strategic People matters Experience working with recruitment, employer branding, or talent attraction A genuine interest in improving People processes through digital tools, AI, data, and new ways of working Fluency in English, both written and spoken Experience from a technology-driven organization, an international environment, or working with larger HR systems such as SAP SuccessFactors or Workday is considered an advantage. As a person, you are structured, curious, and approachable. You build trust easily, enjoy collaborating with others, and are comfortable taking ownership while remaining hands-on in your daily work. You are also someone who enjoys learning, exploring new ideas, and adapting to changing circumstances. Why SICK? At SICK, you will join an organization characterized by openness, collaboration, and a genuine interest in both people and technology. You will have the opportunity to work in an international environment while remaining close to the local business and its leaders. The role offers a broad range of responsibilities and the chance to contribute across several areas within People, from manager support and employee relations to recruitment, employer branding, and organizational development. This role is particularly well suited for someone who enjoys variety, values strong relationships, and is energized by change and development rather than predictability. Ready for your next challenge? If you are looking for a broad People role in an international technology company where you can make an impact while continuing to learn and develop, we would love to hear from you. Please submit your application no later than August 16, 2026. We will begin reviewing applications after the application deadline. For more information about the position or the recruitment process, please contact Sara Lidmer at sara@idax.se. We wish you a wonderful summer and hope to hear from you soon.
SENIOR COMPUTER VISION ENGINEER JOIN OUR TEAM AT HAWK-EYE INNOVATIONS VALUE STREAM - TRACKING & AUTO OFFICIATING LOCATION: HYBRID WORKING – MINIMUM 2 DAYS PER WEEK IN THE OFFICE OFFICE LOCATIONS: BASINGSTOKE, LONDON OR BRISTOL CONTRACT: PERMANENT, FULL-TIME SALARY: £65,440 – £87,260 Hi, I’m James Sharam, Head of Computer Vision at Hawk-Eye Innovations. I’m looking for a Senior Computer Vision Engineer to join our growing team. This is a key role focused on real-time skeletal, ball and game object tracking for multiple sports. A strong background in mathematics and modelling is encouraged. If that kind of technical challenge excites you, I’d love to hear from you. ABOUT THE ROLE We’re looking for a Senior Computer Vision Engineer – Algorithms to join our Computer Vision team at Hawk-Eye Innovations. This role is suited to an experienced engineer who enjoys owning complex algorithmic systems and seeing them operate in real-world, production environments. The role is strongly algorithm-focused, with an emphasis on accuracy, performance, robustness, and system-level thinking, spanning modern C++, multi-camera geometry, cross-platform deployments, and cloud-enabled pipelines. WHAT YOU’LL WORK ON * Designing, developing, and improving ball and player tracking algorithms using multi-camera systems * Owning and evolving multi-view geometry solutions for accurate, court-wide tracking * Developing robust approaches to occlusion handling, recovery, and failure modes in fast-paced sports scenarios * Enhancing and maintaining mature, long-running computer vision systems used in live production * Optimising algorithms for performance and reliability, including CPU and GPU considerations * Contributing to cross-platform systems, ensuring algorithms run consistently across environments * Supporting the integration of algorithms into cloud-enabled and distributed systems * Working in an agile environment to deliver robust, production-ready solutions at scale KEY RESPONSIBILITIES * Lead the development and improvement of computer vision algorithms from concept through to production * Design, implement, test, and validate complex algorithmic features * Take ownership of algorithmic components and drive their long-term maintainability and technical quality * Collaborate closely with engineers across computer vision, tracking, tooling, and platform teams * Contribute to technical discussions around architecture, performance, scalability, and deployment * Identify weaknesses in existing approaches and propose pragmatic improvements * Share progress, decisions, and learnings with the wider team * Support and mentor other engineers through code reviews and technical guidance SKILLS, KNOWLEDGE, AND EXPERIENCE We’re looking for someone with: * Strong commercial experience developing computer vision algorithms * Advanced knowledge of modern C++, working within large, production codebases * Strong understanding of performance optimisation, including CPU and GPU workloads * Solid experience with image processing, geometry, and multi-camera systems * Experience working with cross-platform systems and real-world deployment environments * Familiarity integrating algorithmic components into cloud-based or distributed systems * Strong debugging skills and the ability to reason about complex system behaviour * Confident use of Git and Visual Studio in collaborative engineering environments Nice to have (but not essential): * Experience with CUDA or GPU acceleration * Awareness of concurrency, networking, or operating system concepts * Experience deploying or supporting algorithms in cloud environments * Interest in machine learning techniques and related libraries REWARD, BENEFITS, AND WELLNESS UK BENEFITS * 25 days annual leave (excluding bank holidays) * Enhanced pension scheme with 5% matching * Hybrid working model * Complimentary Unmind wellbeing app * Onsite gym (Basingstoke) * Sony Group Company discounts HUNGARY BENEFITS * Annual leave in line with local labour law * Hybrid working model (2 days per week in the office) * Access to sporting events and tickets * Sony Group Company discounts Cafeteria benefits include: * SZÉP Card * Nursery & Kindergarten contributions * Annual MOL Bubi Pass * Private medical insurance * Life & accident insurance * MindentMent Dental Clinic discounts * Seniority awards * Employee Assistance Program EQUAL OPPORTUNITY AND INCLUSION As an active part of a culturally and socially diverse society, Sony Sports Technology is committed to building a diverse and inclusive workforce. We employ, retain, promote, and treat all employees and applicants fairly, based on skills, qualifications, and professional experience. Our commitment is to provide a respectful and inclusive environment where people can contribute, develop, and succeed.
Professional Galaxy är ett IT och teknikkonsultbolag som tillhandahåller högspecialiserad kompetens inom IT, utveckling, elektronik och mekanik konstruktion. Vi arbetar med seniora experter och levererar strategiskt värdeskapande kompetens till några av Sveriges mest komplexa och samhällskritiska projekt. Vårt fokus ligger alltid på hög kvalitet, professionalism och mätbara resultat. Är du rätt person för uppdraget, eller vill du rekommendera en stark kandidat? Tveka inte att kontakta oss. Ansök gärna redan idag – urval och intervjuer sker löpande. Professional Galaxy söker en Software Developer - SDK på uppdrag av vår klient. Kravprofil Vi söker en erfaren mjukvaruutvecklare som vill ansluta till ett avancerat SDK‑team inom inbyggda system och bildteknik. Rollen passar dig som trivs i en tekniskt komplex miljö där mjukvara möter hårdvara, och där du får arbeta nära prestandakritiska lösningar. SDK:t används på flera plattformar – embedded, desktop och mobile – och teamet ansvarar även för sin egen bygg- och testmiljö, där du som konsult förväntas delta aktivt i förbättring och vidareutveckling. Arbetet sker huvudsakligen i modern C++ samt GPU-relaterad kod, men teamet använder även tekniker som C, .NET, Java, Swift och Python. Kravprofil Flera års erfarenhet av modern C++‑utveckling God förståelse för kommunikationsprotokoll såsom TCP/IP, USB eller liknande Erfarenhet av bildbehandling, bildanalys eller kamerabaserade system (t.ex. OpenCV) Praktisk erfarenhet av CI/CD‑verktyg (t.ex. Jenkins, GitHub Actions) Erfarenhet av utveckling på flera plattformar, t.ex. Windows och Linux Mycket god problemlösningsförmåga, debugging och optimering Meriterande kompetenser GPU‑acceleration Hårdvarunära programmering Multi‑platform development AI/ML‑inriktad bildanalys Git, Jira eller motsvarande verktyg Övrigt Uppdraget är på plats i norra Stockholm. Övrig information Arbetsmodell: På plats Uppdragslängd: Tillsvidare Uppdragsperiod: ASAP till Öppet Sista ansökningsdag: 2026-02-07 Ansök genom att bifoga ditt CV (vi vill inte ha något personligt brev) och besvara urvalsfrågorna. Frågorna utgår från kravprofilen för den här rekryteringen och dina svar ligger till grund för det urval som sker i processen. Att besvara frågorna är en förutsättning för att din ansökan ska anses komplett. Vänligen notera att krav och eventuella meriter ska vara uppfyllda vid ansökningstillfället. Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.
Join a dynamic team where you will never work alone. Our client is pushing the boundaries of connectivity through multi-disciplinary innovation, offering you the chance to tackle some of the industry's most complex optical challenges. About the role As an Optics / Camera Engineer, you will contribute to the design and integration of optoelectronic systems. You will collaborate with experts in industrial design, electronics, and software to deliver cutting-edge products from concept to high-volume production. You are offered Experience a collaborative culture that values technical curiosity and professional growth. You will work on diverse projects alongside top-tier engineers in a supportive environment that prioritizes team success and innovation. This assignment starts as a consultancy assignment with good opportunities for direct employment with the client. Work tasks This role involves the end-to-end development of optical systems, focusing on component integration, lab-based testing, and cross-functional collaboration to ensure high-quality product delivery. Design and integrate optoelectronic components into complex systems. Conduct optical measurements and testing in specialized lab environments. Utilize Matlab or Python for data analysis and system modeling. Collaborate with cross-functional teams including mechanics and electronics. Evaluate and select camera sensors and modules based on specific use cases. Perform image quality tuning and evaluation using tools like Imatest or Chromatix. Participate in the full product development lifecycle from concept to production. We are looking for Master of Science degree in optics, engineering physics, computer science or similar. Understanding of optical components like cameras, sensors or displays. Knowledge of design and integration of optoelectronic components Good proficiency in Matlab, Python, or similar programming languages. Practical experience working in optics lab environments. Professional proficiency in written and spoken English. It is meritorious if you have Experience with optical simulation tools such as Zemax or LightTools. Knowledge of computer vision and image processing algorithms. Familiarity with embedded system software development. Experience integrating camera hardware with chipsets like Qualcomm or MediaTek. Understanding of the full product development lifecycle for high-volume manufacturing. To succeed in the role, your personal skills are: Goal oriented Orderly Responsible Our recruitment process This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work. Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process. About the client:The client is a global technology company operating within connected products and systems. The organization works at the forefront of product development, delivering advanced technical solutions in close collaboration with leading industry partners and platform providers.The company brings together several hundred skilled professionals across multiple locations worldwide, where diversity, collaboration, and knowledge sharing are key parts of the culture. Teams work closely together across disciplines to drive innovation and deliver high-quality solutions. The environment combines product development and consultancy services, with many projects carried out in close-knit teams, ensuring strong collaboration and continuous knowledge exchange throughout all assignments.
Who are we? AMRA is a ground-breaking international digital health company at the forefront of medical imaging and precision medicine. AMRA was founded in 2010 as a spin-off of Linköping University, Sweden, with the aim to support transformative care and vital decision-making, from clinical research to health and wellness. Today we are 60+ employees, operating in the US, European and Asian market, with the need to expand further. The company has developed a new global standard in body composition assessment, the ability to automatically produce multiple fat and muscle biomarkers with unrivaled precision and accuracy, as well as contextual disease insights – all from a single whole-body MRI. We work with the world’s leading pharma companies and academic hospitals. Job Description As an MRI Scientist, you will be part of the Imaging team and work with the development of new acquisition and image analysis methodology, as well as development of new biomarkers. You lead the corresponding scientific work in terms of conducting, documenting and presenting the research, development and validation. You are also involved in investigating root-cause and suggesting solutions for image acquisition and processing issues. Finally, you work as expert support for the MRI/Biomarker specialists, for implementation of new software and routines, as well as monitor the scientific validity and quality of production. Place of work is the AMRA headquarters in Linköping Sweden (preferred), or remote from other locations in Sweden. Who are we looking for? We are looking for candidates with PhD education and research experience in MRI physics. You have a deep knowledge and understanding of quantitative MRI including image acquisition, MRI signal modelling and image post-processing. You have proven programming skills used to carry out the tasks at hand. You must have good administrative organization skills and be able to communicate clearly in a collaborative manner. What do we offer? We offer a stimulating workplace with satisfying work tasks, highly knowledgeable colleagues and opportunities to make a difference. We are a young company that has a strong scientific foundation, now building a worldwide market presence. As part of our team, you will get an opportunity to contribute to a healthier world. We are a growing team of high-performers from around the world. We are a flat organization with open dialogue and climate, where you will have the opportunity to influence and grow. Application If you have any questions please feel free to contact André Melin, SVP Science & Imaging, +46 (0) 72 399 70 34, andré.melin@amramedical.com or Åsa Callenfors, Director of HR, +46 (0) 70 610 12 57, asa.callenfors@amramedical.com As the process is ongoing, please submit your application as soon as possible.
Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results. We are now seeking a Mechanical engineer - CAD visualization for one of our clients. About the assignment: We are looking for a candidate to support the preparation and transformation of CAD data into high-quality visualization data. The role focuses on material assignment, data cleaning, and quality assurance to ensure visualization-ready datasets. Create technical visualization images for internal use cases and prepare structured visualization data packages for downstream stakeholders. Work will be performed using tools such as Deltagen, CATIA V5, and Adobe Photoshop, and includes collaboration in a cross-functional project environment involving internal stakeholders, market representatives, and TRATON brands. Responsibilities: • Prepare CAD data for visualization (geometry clean-up, simplification, structuring) • Perform material assignment and scene setup for visualization • Ensure high data quality through validation and QA checks • Create technical visualization images for internal communication • Produce and deliver visualization data packages for other departments Collaborate with: • Product design & engineering • Industrial Design / Styling • Market & communication stakeholders • Work in tools such as Deltagen, CATIA V5 and Adobe Photoshop • Support continuous improvement of visualization workflows and data standards Education, Must Have: • Engineering degree or equivalent within: • Mechanical Engineering • Product Development • Industrial Design Engineering Education, Nice To Have: Specialization or coursework in: • Visualization / Rendering • Surface modelling or styling • Digital product presentation Experience, Must Have: • Experience working in 3D CAD environments (preferably CATIA V5) • Experience handling complex CAD assemblies and product structures • Experience from automotive or commercial vehicle development • Understanding of: • Product development processes • Cross-functional collaboration (design–engineering–production) Experience, Nice To Have: • Experience in visualization / rendering workflows • e.g. Deltagen, VRED, Blender or similar • Experience in image creation / post-processing (Photoshop, Illustrator) • Experience working close to: • Industrial Design / Styling • Studio Engineering • Knowledge of material definition and visual quality control • Experience from Scania or similar organization • Knowledge of additional tools: • Alias, Rhino or other surface modelling tools (meriterande) Language • English – fluent (required) • Swedish – meritorious Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us. Please apply directly through our system with: - Your updated CV in english - Availability to start the assignment In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities. Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid. Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.
Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results. We are now seeking a Mechanical engineer - CAD visualization for one of our clients. About the assignment: We are looking for a candidate to support the preparation and transformation of CAD data into high-quality visualization data. The role focuses on material assignment, data cleaning, and quality assurance to ensure visualization-ready datasets. Create technical visualization images for internal use cases and prepare structured visualization data packages for downstream stakeholders. Work will be performed using tools such as Deltagen, CATIA V5, and Adobe Photoshop, and includes collaboration in a cross-functional project environment involving internal stakeholders, market representatives, and TRATON brands. Responsibilities: • Prepare CAD data for visualization (geometry clean-up, simplification, structuring) • Perform material assignment and scene setup for visualization • Ensure high data quality through validation and QA checks • Create technical visualization images for internal communication • Produce and deliver visualization data packages for other departments Collaborate with: • Product design & engineering • Industrial Design / Styling • Market & communication stakeholders • Work in tools such as Deltagen, CATIA V5 and Adobe Photoshop • Support continuous improvement of visualization workflows and data standards Education, Must Have: • Engineering degree or equivalent within: • Mechanical Engineering • Product Development • Industrial Design Engineering Education, Nice To Have: Specialization or coursework in: • Visualization / Rendering • Surface modelling or styling • Digital product presentation Experience, Must Have: • Experience working in 3D CAD environments (preferably CATIA V5) • Experience handling complex CAD assemblies and product structures • Experience from automotive or commercial vehicle development • Understanding of: • Product development processes • Cross-functional collaboration (design–engineering–production) Experience, Nice To Have: • Experience in visualization / rendering workflows • e.g. Deltagen, VRED, Blender or similar • Experience in image creation / post-processing (Photoshop, Illustrator) • Experience working close to: • Industrial Design / Styling • Studio Engineering • Knowledge of material definition and visual quality control • Experience from Scania or similar organization • Knowledge of additional tools: • Alias, Rhino or other surface modelling tools (meriterande) Language • English – fluent (required) • Swedish – meritorious Personal / Soft Skills • Self-driven and proactive • Strong communication skills in cross-functional teams • Ability to translate technical data into visual outputs • Structured and quality-focused mindset • Curious and willing to learn new tools (e.g. Deltagen) • Comfortable working in project-based environments with multiple stakeholders Full-time. Hybrid, 3-5 days/week on-site. The selection of candidates is done continuously. Good opportunities for an extension off the assignment Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us. Please apply directly through our system with: - Your updated CV in english - Availability to start the assignment In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities. Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid. Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.
Do you want to turn image and sensor data into meaningful insights and real-world solutions? Here, you join a collaborative environment where innovation, learning, and data-driven thinking move us forward. Why Sandvik? We combine advanced technology with real industrial impact, giving you space to grow while contributing to something bigger. Work together with experienced experts and learn by doing Contribute to real-world AI use cases from day one Be part of a collaborative and inclusive team culture About the job You support the development of AI models and data-driven solutions with a focus on image and sensor data. Working closely with more experienced colleagues, you take part in experimentation, testing, and continuous improvement of models. Job responsibilities Support development of AI and machine learning models Work with image and sensor data to explore and build solutions Assist in testing, validating, and refining models Contribute to experiments and prototyping activities Collaborate with team members to improve performance and results Location and flexibility This position is based at our site in Svedala and offers a hybrid working model, allowing you to work remotely. Your profile You’re early in your career and bring a strong foundation in data science or a related field. Curiosity drives you, and you’re motivated to turn theory into practical solutions while growing your skills in applied AI. Your background includes: A degree in Data Science, Computer Science, Electrical Engineering, or similar Hands-on experience through projects, thesis work, or open-source contributions Interest in AI, machine learning, and algorithms for image or sensor data Strong problem-solving ability and analytical thinking Eagerness to learn and develop within a team environment Curiosity, initiative, and a willingness to learn guide your approach. You enjoy collaborating, asking questions, and tackling challenges step by step. A proactive mindset and openness to feedback help you grow and contribute to the team’s success. Our culture At Sandvik, we’re tech driven, innovative and entrepreneurial. We believe that success is a team effort so we value diversity and are committed to creating an inclusive culture where people can be themselves and reach their full potential. So, we invest in supporting each other, learning together and celebrating our differences. Visit our stories hub, LinkedIn or Facebook to get to know us further. Contact information For further information about this position, please contact Johan Östergren, hiring manager, johan.ostergren@sandvik.com. We’ve already decided on which advertising channels and marketing campaigns we wish to use and respectfully decline any additional contacts in that matter. Union contacts – Sweden Mårten Lindberg, Unionen, +46 (0)76 111 03 36 Jonny Hansson, Akademikerföreningen, +46 (0)76 126 45 81 Michael Wicktor-Ohlsson, Ledarna, +46 (0)70 251 44 57 Recruitment Specialist: Ulrika Gruffman How to apply Send your application no later than July 27, 2026. Click apply and include your resume and cover letter in English. Please note that we don’t accept applications by e-mail. Job ID: R0093937. At Sandvik, we value a healthy work-life balance and will be away on summer vacation. Therefore, it can be difficult to reach us, and the recruitment process might take longer than usual. We aim for an open and fair recruitment process and use different tools to ensure an objective assessment. Later in the process, you may be invited to complete a personality and logic test. To learn more about our recruitment process, please visit our career site or contact HR Services at hrservices.sweden@sandvik.com Business area Rock Processing is a global leading supplier of equipment, service, and technical solutions for crushing, screening, breaking and demolition in the mining and infrastructure industries. In 2025, sales were approximately SEK 10 billion with about 2,800 employees.
Gnothis AB is seeking for a skilled Software Engineer who enjoys building experimental systems in a laboratory environment. This is a permanent position based at our HQ, located at the campus of Stockholm University (Stockholm, Sweden). Gnothis, founded in 2015 and supported by highly innovative industrial professionals and technology developers, is on a mission to develop a new frontier for single molecule DNA sequencing; to break the mold on how sequencing is used as a clinical tool for the diagnosis of complex diseases. Gnothis technology integrates a wide range of cutting-edge sciences ranging from nanotechnology, photophysics, optics, surface chemistry, biochemistry and computational science. Our instrumentation, software and analysis team currently consists of four engineers and we are now expanding the team as we scale development of the system. We are seeking for an engineer with strong data analysis and scientific programming experience to develop our DNA sequencing data analysis pipeline. The role combines algorithm development, image analysis, and scientific data exploration, working closely with our instrumentation and biochemistry teams. The work involves analyzing experimental data from our microscopy-based sequencing platform and developing the automated analysis pipeline that converts raw microscopy data into DNA sequencing results. The position is part of a multidisciplinary team developing a prototype DNA sequencing instrument combining microscopy, microfluidics, nanofabrication and advanced data analysis. Initial Project The initial assignment will be to continuously analyze the latest experimental data from the lab in close collaboration with the biochemistry and instrument teams. This means developing new analysis algorithms, critically reviewing results together with the team, and driving experiment design to better address the research questions. The work includes analyzing fluorescence microscopy data, developing algorithms for tasks such as peak detection and classification, and translating manual analysis workflows into automated pipelines using Python and Airflow. We are seeking for the right candidate who can make confident decisions based on previous experiences connected to laboratory environments (eg. development of diagnostic software tools and/or processing of fluorescence microscopy raw data). Responsibilities Develop algorithms and analysis methods for microscopy-based sequencing data Implement automated analysis pipelines in Python and Airflow Perform exploratory analysis of experimental datasets and extract meaningful insights Collaborate closely with instrumentation and biochemistry teams to interpret results and improve experiments Develop tools for data visualization, evaluation and reporting Contribute to building a robust and scalable DNA sequencing analysis workflow. Candidate Profile For you to enjoy performing expected activities, and being a valuable member in an ambitious and innovative team; we think you are an engineer or scientist with strong experience in scientific programming and data analysis. This role suits someone who enjoys working deeply with experimental datasets and extracting insight through algorithm development, statistical analysis and careful data interpretation. The candidate should be comfortable working independently with complex datasets and driving the development of analysis methods in collaboration with a small multidisciplinary team. Relevant backgrounds and skills include: Master of Science and/or Ph.D educational background – ideally combined with a relevant Life Science focus. Python programming for scientific computing Image analysis and signal processing Microscopy or fluorescence imaging data Statistics and experimental data analysis Scientific visualization and reporting DNA sequencing or genomics data A PhD with strong experience in microscopy data, sequencing data, or similar experimental datasets is highly preferred. Gnothis offer a creative environment focused on technology and product development, a competitive compensation package and plenty of room for self-development as the company expands. This is a permanent position (not consultant assignment). If above sounds like an exciting opportunity and you would like to hear more, do not hesitate and submit your application and we will get back to you! Gnothis AB on LinkedIn: https://www.linkedin.com/company/gnothis/posts/?feedView=all For inquires please email us at: markus.dahl@valleyrecruitment.se
About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will help transform complex CAD data into high-quality visualization material used across product development and internal communication in a technically advanced commercial vehicle environment. This role sits at the intersection of engineering, visualization, and data quality, where accurate geometry, material definition, and structured datasets are essential for creating useful visual outputs. You will work in a cross-functional setup together with stakeholders in design, engineering, styling, and communication. The role gives you the chance to combine technical understanding with visual precision in an environment where your work supports both internal users and downstream teams, making it a strong opportunity if you enjoy turning complex product data into polished, visualization-ready results. Job DescriptionYou will prepare CAD data for visualization through geometry clean-up, simplification, and structured data handling. You will assign materials and set up scenes to create high-quality visualization-ready datasets. You will validate data, perform quality checks, and help ensure consistent visual and technical standards. You will create technical visualization images for internal communication and product-related use cases. You will produce and deliver structured visualization data packages to downstream stakeholders and other departments. You will collaborate closely with product design, engineering, industrial design, styling, and market-oriented stakeholders. You will contribute to the continuous improvement of visualization workflows, methods, and data standards. You will work with tools such as Deltagen, CATIA V5, and Adobe Photoshop as part of your daily work. RequirementsEngineering degree or equivalent within Mechanical Engineering, Product Development, or Industrial Design Engineering. Experience working in 3D CAD environments, preferably CATIA V5. Experience handling complex CAD assemblies and product structures. Experience from automotive or commercial vehicle development. Understanding of product development processes. Ability to work effectively in cross-functional collaboration across design, engineering, and production. Ability to translate technical data into clear visual outputs. A structured and quality-focused way of working. Fluent English. Willingness to complete a background check before the assignment starts. Nice to haveSpecialization or coursework in visualization, rendering, surface modelling, styling, or digital product presentation. Experience in visualization or rendering workflows such as Deltagen, VRED, Blender, or similar tools. Experience in image creation or post-processing with Photoshop, Illustrator, or similar tools. Experience working closely with Industrial Design, Styling, or Studio Engineering. Knowledge of material definition and visual quality control. Knowledge of Alias, Rhino, or other surface modelling tools. Knowledge of internal systems and processes in a similar vehicle development organization. Experience working with complex vehicle product structures, especially within bus or truck development. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.
EQT is looking for an Application & AI Cyber Security Engineer to join our Cyber Security Engineering team, owning the security posture of our hosted applications, container platforms, and AI environments. This is a hands-on engineering role where you will build automated guardrails and real-time visibility — making the secure path the easy path across a modern, globally distributed technology landscape. ABOUT THE TEAM The Cyber Security Engineering team defines and validates security standards across EQT's technology landscape. Operating as a trusted security function, the team works closely with platform engineering, cloud infrastructure, identity, and technology assurance teams to strengthen controls while enabling innovation. This role sits within a small, high-trust team where collaboration, curiosity, and technical depth are core to how we work. The team supports both traditional application environments and emerging AI and agentic platforms, helping EQT navigate a rapidly evolving threat landscape with practical, engineering-led security standards. You will report to the Head of Digital Employee Experience and partner closely with the CISO function, contributing engineering depth directly to governance and policy decisions. ABOUT THE ROLE This role brings together application security, container security, and AI security into one evolving discipline — giving you the scope to influence standards, technical controls, and governance frameworks across a global technology environment. The mandate is to build automated guardrails and observability at scale, not to review individual applications by hand. * Design and deploy automated controls for container platforms and application deployments — admission controllers, policy-as-code, and pre-configured scanning — that enforce standards at the point of deployment rather than after the fact. * A growing part of the job is enabling citizen development — making sure non-technical teams can use AI coding tools like Claude Code and CoWork without needing to come through security first, because the guardrails are already there. * Curate internal security tooling, automation, and AI skills for cost, reliability, and security posture — favouring deterministic, scripted components that run fast and cheap over token-intensive approaches, and tracking cost-per-outcome across security controls as a core operating discipline. * Own container security standards as enforceable controls: image scanning policy, runtime baselines, and registry governance across all deployment paths, including workloads outside formal pipelines. * Manage software supply chain risk end-to-end, including dependency scanning, build-time and runtime composition analysis, and identifying high-propagation risk junctions. * Build application security observability that goes beyond static inventories — a live picture of what is deployed, what it is composed of, and where risk is concentrated — and provide actionable dashboards for engineering leadership and the CISO function. * Own the security configuration of EQT's AI platforms, including hardening, access controls, data flow governance, and defences against prompt injection and data exfiltration. * Assess MCP connector risk — API call patterns, data processing terms, allowlist maintenance, and dependency chains — and evaluate new AI tools with enough technical depth to inform CISO-level approval decisions. * Define behavioural baselines for agentic execution environments and close AI-specific insider threat gaps, ensuring monitoring tools can see into AI data flows. * Collaborate with Detection & Insider Threat Engineers on container runtime telemetry, and with Identity & Cloud Security Engineers on service identity, workload access, and secrets management. TOOLS YOU'LL WORK WITH Kubernetes, CI/CD platforms, SBOM tooling, Aikido, Claude Enterprise, Claude Code, MCP, CoWork, DTEX, Datadog, policy-as-code frameworks. ABOUT YOU You are a technically grounded security engineer who cares deeply about developer experience and approaches security friction as a design problem to solve, not a trade-off to accept. You work with clarity and ownership, communicate technical findings to senior stakeholders with confidence, and are actively building your knowledge of AI and agentic security. What you'll bring (must-have): * Proven hands-on experience with container security — Kubernetes, image scanning, admission control, runtime protection, and policy-as-code. * A track record of building automated security controls that scale, with an instinct for making the right path easy and the wrong path hard rather than relying on manual review. * Solid application security fundamentals, including familiarity with OWASP Top 10, secure development lifecycle, and software supply chain risk, with an orientation toward enforcement over assessment. * Experience building security visibility into running systems through instrumentation, runtime analysis, or operational dashboards — understanding the difference between knowing what was shipped and knowing what is actually executing in production. * Active use of AI-assisted development tools in your own engineering work (such as Claude Code, GitHub Copilot, or equivalent); this role is designed around that way of working. * Early or growing experience in AI and LLM security — including prompt injection, data exfiltration, model API security, or agentic system controls — and a clear appetite to develop expertise in this space. * The ability to communicate complex technical findings clearly and concisely to senior stakeholders who will translate them into policy and governance decisions. Nice to have: * Familiarity with tools such as CrowdStrike, Aikido, Bold Security, Nightfall, Zscaler, or Lakera Guard. * Experience with MCP (Model Context Protocol), agentic frameworks, or AI platform administration. * Background working in private equity, financial services, or other environments where non-public information is a primary asset requiring protection. * Experience measuring and optimising the operational cost of security controls. * Comfort deploying and working with local open-source LLMs for automation use cases. HOW WE THINK ABOUT THIS ROLE Application security and AI security share a common threat model — data exfiltration, supply chain compromise, and the boundary between trusted and untrusted code. AI connectors that interact with hosted services sit squarely in both domains. Splitting them into separate roles at a five-person team would create seams in exactly the places attackers exploit. The role is also shaped by a bet on AI-augmented engineering. An engineer with good tooling, a real token budget, and the discipline to automate before they assess can cover ground that would have required a larger team not long ago. We've designed the headcount around that — not to cut corners, but because the best security engineering now looks like one person building excellent guardrails with AI, not several people reviewing things by hand. WHAT WE OFFER At EQT, you will work in an environment that combines high impact with high trust, contributing to security challenges that matter at a global scale. You will help shape practices in areas that are rapidly evolving across the industry — AI security, software supply chain security, and modern application platforms — with direct influence on governance decisions and engineering standards. We offer meaningful and complex work with global reach, close collaboration with experienced colleagues across security, engineering, and technology, and genuine exposure to emerging AI technologies and cloud-native platforms. EQT has a culture that values curiosity, ownership, and continuous learning, with real opportunities for professional development in a fast-moving environment. COMPENSATION & BENEFITS NOTICE We offer a competitive total rewards package including base salary, determined based on the role, experience, skill set, and location. Eligible employees may also receive discretionary incentive compensation, awarded in recognition of individual performance and company results. EQT provides a comprehensive benefits offering designed to support employee wellbeing, development, and work-life balance. Benefits include paid time off, parental leave, wellbeing and wellness support, flexible working arrangements, and learning and development opportunities. Benefits are effective from the first day of employment and may vary by location and role. Inclusion at EQT Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has EUR 270 billion in total assets under management (EUR 141 billion in fee-generating assets under management), within two business segments – Private Capital and Real Assets. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn, X, YouTube and Instagram
"We are looking for a Laboratory Engineer who thrives on understanding why materials behave the way they do. Someone who enjoys getting hands-on in the lab, developing methods, solving technical challenges and turning microstructural observations into insights that support innovation, production and customer success. This is an opportunity to take ownership of a laboratory that is central to our future development and help unlock its full potential." – Tania Loaiza, R&D Manager Help shape the future of specialty steel At Ovako, we combine more than 300 years of industrial expertise with modern technology and a strong commitment to sustainability. As a leading European producer of specialty steel, we continuously develop products and processes that meet future demands for performance, quality and reduced climate impact. Research and development play a vital role in this journey. Through advanced materials characterisation, testing and metallurgical expertise, we generate knowledge that strengthens both our products and manufacturing processes. We are now looking for a Laboratory Engineer who wants to build deep expertise in materials characterisation while helping shape the future of specialty steel. This is a role for someone who enjoys combining practical laboratory work with advanced technical analysis and is motivated by creating long-term value through scientific knowledge and continuous improvement. The role As a Laboratory Engineer within Ovako's R&D organisation, you will take dedicated ownership of our materials laboratory and play a key role in ensuring it delivers maximum value to the business. Acting as the technical focal point for materials characterisation, testing and failure analysis, you will collaborate closely with researchers, production teams, customers and external partners. The role combines hands-on laboratory work with technical analysis, method development and continuous improvement, giving you considerable freedom to plan, prioritise and drive your own work. Your work will contribute directly to R&D projects, production-related investigations and customer assignments, generating knowledge that supports both today's operations and tomorrow's product development. Responsibilities Operating, maintaining and calibrating laboratory equipment to ensure high reliability and readiness Performing materials characterisation and testing of steels and other metallic materials Preparing metallographic samples, conducting optical microscopy and performing image analysis Working with scanning electron microscopy (SEM) and hardness testing Conducting failure analysis and root cause investigations Developing, validating and documenting test methods to ensure reproducibility and traceability Explaining technical findings clearly to internal stakeholders and international customers Support university collaboration, including supervision of students Contributing to a deeper understanding of structure–property relationships in steels Identifying opportunities to further develop laboratory methods, analytical capabilities and ways of working Your profile You're a proactive and hands-on engineer with genuine technical depth and a passion for materials engineering. You enjoy combining careful experimentation with practical problem-solving and take pride in producing reliable results that others can build upon. You work independently and drive activities forward with confidence. To succeed in this role, we believe you have: A Bachelor's degree or higher in Materials Engineering, Metallurgy or a related field At least three years of practical laboratory experience Experience in developing and validating test methods Experience in equipment maintenance, calibration and laboratory operation Strong metallography knowledge, including sectioning, mounting, polishing, etching and quantitative analysis such as grain size and retained austenite measurements Hands-on experience with optical microscopy, image analysis and scanning electron microscopy (SEM) Strong communication skills and the ability to explain technical results to different audiences Good command of English, both written and spoken Meritorious Fatigue testing Non metallic inclusion investigation Heat-treatment fundamentals Alloy development and new steel grades Understanding how composition and processing influence material properties Who are you? We believe you are the kind of engineer who naturally takes ownership and enjoys building deep technical expertise over time. You are curious and analytical, motivated by understanding how materials, processes and microstructures interact to influence performance. While you enjoy working hands-on in the laboratory, you also appreciate the bigger picture and understand how robust methods, reliable data and technical knowledge create long-term value for the business. We believe you are: Proactive and self-driven Analytical, structured and quality-conscious Hands-on with a practical approach to problem-solving Communicative, collaborative and able to build strong relationships Motivated by continuous improvement and long-term technical development Location: Hofors, Sweden, on site. Ovako offers a relocation package. Application and information This recruitment is managed by AxÖ Consulting. For questions regarding the position or the recruitment process, please contact: Fiddelie Nyvall: fiddelie.nyvall@axoconsulting.se Linda Axäng: linda.axang@axoconsulting.se Please note: As this recruitment takes place during the summer holiday period, response times may be longer than usual. We appreciate your patience and will get back to all candidates as soon as possible. Background checks may be conducted as part of the recruitment process.
SUMMARY OF THE ROLE: As a Security Research Engineer at Maze, you'll be at the forefront of defining what constitutes real security risk in the age of AI-powered vulnerability detection. This is a unique opportunity to join our growing security research team at a well-funded startup building at the intersection of generative AI and cybersecurity, where your security expertise directly shapes how our AI models understand and prioritize cloud security threats. You'll spend the majority of your time as the expert human-in-the-loop, analyzing cloud vulnerability findings from our AI systems, conducting deep research to validate and contextualize threats, and creating the authoritative labels that train our models to distinguish critical risks from noise. Working alongside other security researchers, you'll help scale our labeling operations while providing critical input into product development decisions based on real-world threat patterns you discover. This role is perfect for a security researcher who wants to pioneer the future of AI-assisted threat detection, loves diving deep into cloud security vulnerabilities, and wants to see their security insights amplified through cutting-edge technology while contributing to a growing team. YOUR CONTRIBUTIONS TO OUR JOURNEY: * Scale Expert Data Labeling Operations: Lead high-volume vulnerability labeling and validation work as the authoritative voice on threat severity, reviewing and categorizing cloud security findings from our AI models to create the high-quality training data that powers our platform * Drive Product Development Through Research Insights: Translate patterns and insights from your labeling and research work into actionable product improvements, working directly with engineering and product teams to enhance detection capabilities and user experience * Collaborate with Security Research Team: Work closely with fellow Security Research Engineers to maintain consistency in labeling standards, share research findings, and collectively improve our vulnerability assessment methodologies * Deep Vulnerability Research: Conduct comprehensive research into cloud vulnerabilities affecting EC2 images, Docker containers, and cloud infrastructure, investigating true/false positives, analyzing business impact, and building proof-of-concepts to validate threat scenarios * Enhance AI Model Accuracy: Provide expert feedback through our labeling tools that improves our AI models' understanding of vulnerability context, helping them learn to prioritize threats like a seasoned security researcher * Technical Investigation and Analysis: Create detailed technical writeups about exploitation techniques, attack vectors, and remediation strategies for cloud vulnerabilities, turning complex security research into actionable intelligence * Leverage External Security Intelligence: Integrate insights from CVE databases, security advisory feeds, and threat intelligence sources to enrich vulnerability findings with broader context and emerging threat patterns * Contribute to Thought Leadership: Support our external presence through technical blog posts, security videos/podcasts, and occasional conference presentations, sharing insights from your research WHAT YOU NEED TO BE SUCCESSFUL: * Security Research Expertise: 5+ years of hands-on security experience with proven vulnerability research background, comfortable investigating complex security issues and building proof-of-concepts to validate findings * Cloud Security Mastery: Deep knowledge of AWS security, cloud infrastructure vulnerabilities, container security, and cloud-native attack vectors, with hands-on experience securing cloud environments at scale * Technical Investigation Skills: Strong coding and scripting abilities (Python, Go, or similar) for automating research tasks, building validation tools, and creating proof-of-concept exploits * Analytical Excellence: Proven ability to analyze complex security data, distinguish between critical threats and false positives, and communicate technical findings to both technical and business audiences * Product Mindset: Experience translating security insights into product requirements, with ability to identify patterns across vulnerabilities that inform strategic product decisions * External Intelligence Integration: Experience working with vulnerability databases, security advisory feeds, and threat intelligence sources to contextualize and prioritize security findings * Collaborative Mindset: Strong communication skills and ability to work effectively with security research peers, AI/ML teams, and product stakeholders, translating security domain knowledge into actionable improvements * High-Volume Execution: Comfort with systematic labeling work while maintaining accuracy and attention to detail, balancing speed with quality in fast-paced environments * Nice to haves: * Experience with AI/ML security or working with AI-generated security findings * Background at security tooling companies or building security products * Expertise in specific vulnerability research methodologies and frameworks * Open source contributions to security tools or research projects * Previous content creation experience in security (blogs, talks, research papers) * Industry certifications (CISSP, OSCP, AWS Security, etc.) WHY JOIN US: * Ambitious Challenge: We're using generative AI (LLMs and agents) to solve some of the most pressing challenges in cloud security today. You'll be defining how AI understands and prioritizes vulnerabilities, working at the cutting edge of AI-powered threat detection. * Expert Team: We are a team of hands-on leaders with experience in Big Tech and Scale-ups. Our team has been part of the leadership teams behind multiple acquisitions and an IPO. * Growing Security Research Function: Join a collaborative security research team where you'll work alongside other experts, share insights, and collectively shape how our AI platform understands security threats at scale. * Impactful Work: Your security research and labeling work will directly improve how thousands of organizations understand and respond to cloud security threats, scaling expert security knowledge through AI to protect the entire ecosystem. * Product Influence: Your day-to-day research insights will directly influence product strategy and development, giving you a voice in building the next generation of AI-powered security tools. * Pioneer AI-Native Security: Help establish the gold standard for AI-assisted vulnerability research, defining how human security expertise enhances machine learning models in the cybersecurity domain.