Sökresultat för "Nvidia"

AI Laboratory Infrastructure & Operations Engineer About Us We are an AI and Data Mining company developing. Our AI infrastructure includes NVIDIA GPU clusters, enterprise AI platforms, large-scale model training and inference environments, and intelligent AI workflow automation. We are expanding our AI Laboratory and are looking for an experienced engineer to build and operate our AI computing environment. Responsibilities You will participate in the planning, deployment, operation, and maintenance of our AI laboratory infrastructure, including: Design, deploy, and maintain AI server and GPU infrastructure Install, rack, cable, commission, and maintain AI servers in data center environments Plan and execute AI infrastructure expansion, upgrades, and hardware lifecycle management Deploy and manage Linux servers Install, configure, and maintain NVIDIA CUDA, Docker, Kubernetes, and the AI software stack Deploy and optimize AI model training and inference environments Build and maintain AI agent platforms Develop AI workflows and automation pipelines Maintain AI computing clusters and GPU infrastructure Monitor system performance and optimize GPU utilization Monitor power distribution, cooling systems, and overall hardware health Troubleshoot AI server hardware, GPU, networking, storage, operating system, and software issues Support AI researchers and software engineers Requirements Required Strong Linux system administration experience Experience with AI server hardware deployment, installation, maintenance, and troubleshooting Experience with data center infrastructure, including power distribution, rack installation, cabling, cooling, and hardware commissioning Experience deploying and maintaining NVIDIA GPU servers Experience with Docker Experience with Python Experience with CUDA Experience with AI frameworks (PyTorch / TensorFlow) Familiar with LLM deployment Experience with Git Experience with enterprise networking (10/25/100Gb Ethernet or InfiniBand) Experience assembling, upgrading and repairing enterprise servers Preferred Kubernetes Slurm Ansible GPU cluster management AI Agent Platforms LangChain MCP Vector Database RAG Workflow Automation CI/CD Nice to Have Experience with one or more: Multi-GPU training Distributed AI computing NVIDIA DGX AI Data Center Enterprise AI Infrastructure InfiniBand or other high-speed networking Storage systems (NAS / SAN) OpenAI API DeepSeek Qwen Llama We Offer Competitive salary Flexible working environment Opportunity to work with cutting-edge AI technologies Career development in AI infrastructure and intelligent systems Language English required Chinese is a strong advantage（Chinese (Mandarin) proficiency is highly preferred, as the role involves collaboration with our Chinese engineering teams and technical documentation.）

Who are we? At Technimove, we’re passionate about transforming the way the world’s leading IT service providers manage their data centres. As the market leader in Data Centre Transformations, we deliver high-quality Professional Services and Data Centre Migrations for global clients, from ambitious start-ups to some of the most recognisable names in tech. Our secret weapon? Our people. Known as our TechniPeople, we’ve built a diverse, supportive, and ambitious team that thrives on collaboration, innovation, and passion. Some of our colleagues have been with us for over a decade, while many others are just starting their journey — but all share the same energy, drive, and love for what we do. Location: Hayes The Role: We are seeking a proactive Deputy Site Manager to support the successful delivery of data centre smart-hands and physical engineering engagements to an exceptionally high standard. Working alongside the Site Manager, you will play a key role in coordinating site activities, maintaining health and safety standards, managing contractors, and ensuring project milestones are achieved on time and to the highest quality standards. This is an excellent opportunity for an ambitious infrastructure professional looking to further develop their leadership skills within a growing and dynamic organisation. Key Responsibilities: • Support the Site Manager with the day-to-day management of site operations. • Act as the senior technical escalation point for complex incidents, infrastructure failures, and customer-impacting issues. • Collaborate with Consultancy and Project/Programme Management teams, and/or third parties, to plan, lead, and execute complex data centre installations, migrations, refreshes, and decommissioning activities. • Assist with site documentation, reporting, permits, and compliance records. • Lead and oversee advanced racking, stacking, structured cabling, patching, remediation, and infrastructure lifecycle activities. • Support Sales and Pre-Sales teams by contributing technical insights, validations, and solution designs. • Support with site surveys to assess data centre readiness, capacity, risks, and operational constraints. • Deputise for the Site Manager when required. Experience: Essential: • Advanced experience and knowledge of data centre engineering and supporting infrastructure technologies. • Ideally, at least one industry certification, such as CompTIA Server+/Network+, CCNA/P, VMware VCP, Vendor hardware certifications (Dell, Lenovo, NVIDIA, Supermicro), Microsoft fundamentals in Azure and M365, ITIL Foundation. Desirable: • Cisco CCNP or Specialist certifications. • VMware VCP-DCV. • CNet CDCTP / CDCDP or BICSI certification. • Advanced AI / HPC vendor certifications (NVIDIA, Dell, Lenovo, Supermicro). • AWS, Azure, or GCP administrator or architect certifications. Project management qualifications such as PRINCE2 or PMP. If interested, please apply!

PRINCIPAL COMPUTER VISION / MACHINE LEARNING ENGINEER JOIN OUR TEAM AT HAWK-EYE INNOVATIONS Value Stream: Innovation Hub Location: Hybrid working – minimum 2 days per week in the office Office: London, Basingstoke and Bristol Contract: Permanent, Full-Time Salary: £76,340 – £109,060 per annum JOIN OUR TEAM AS A PRINCIPAL COMPUTER VISION / MACHINE LEARNING ENGINEER AT HAWK-EYE INNOVATIONS We're looking for an exceptional Principal Computer Vision / Machine Learning Engineer to join our Innovation Hub and help shape the next generation of sports tracking technology. Working at the intersection of computer vision, applied mathematics and machine learning, you'll tackle some of the most technically challenging problems in sports technology. From reconstructing accurate 3D trajectories from multi-camera systems to deploying advanced algorithms onto embedded hardware, you'll play a key role in developing solutions that power world-leading tracking technology used across global sport. If you enjoy solving complex engineering challenges, influencing technical direction and building production-ready computer vision systems, we'd love to hear from you. WHAT YOUR DAY WILL LOOK LIKE As a Principal Computer Vision / Machine Learning Engineer, you'll play a key role in developing the next generation of computer vision technology within our Innovation Hub. Working at the intersection of computer vision and applied mathematics, you'll transform raw 2D detections from camera systems into accurate 3D positional and trajectory data, ensuring outputs are physically plausible, robust and production-ready. You'll collaborate with software engineers, machine learning specialists and product teams to solve complex technical challenges, helping bring advanced tracking technology into a wider range of sporting environments. APPLIED COMPUTER VISION * Design and develop algorithms that reconstruct accurate 3D positional and trajectory data from 2D detections, applying mathematical and physical modelling of motion, projectiles and object interaction. COMPUTER VISION SYSTEMS * Design and build computer vision components supporting detection, tracking and calibration workflows across multiple sports. CALIBRATION & VALIDATION * Contribute to calibration systems, handling coverage gaps and validating reconstructed trajectories against real-world scenarios. EMBEDDED DEPLOYMENT * Support the optimisation and deployment of algorithms onto embedded NVIDIA Jetson hardware, helping deliver efficient real-time performance on edge devices. MACHINE LEARNING COLLABORATION * Work alongside our dedicated Machine Learning discipline, leveraging existing detection models where appropriate while owning the Computer Vision and applied modelling layer built on top of them. TECHNICAL LEADERSHIP * Influence algorithm design, technical architecture and data pipeline decisions within a fast-moving product team while providing technical guidance across complex engineering challenges. CROSS-FUNCTIONAL COLLABORATION * Partner with data platform, backend and frontend engineers to define data requirements, representative datasets and reliable production outputs. QUALITY & RELIABILITY * Help ensure tracking outputs remain accurate and reliable across challenging real-world environments where conditions can vary significantly. WHAT WE VALUE At Hawk-Eye, we thrive on solving difficult engineering problems through innovation, collaboration and technical excellence. As a Principal Engineer, you'll remain hands-on while influencing the technical direction of our products. You'll work alongside highly skilled engineers across Computer Vision, Machine Learning and Software Engineering to develop innovative solutions that continue to push the boundaries of sports technology. We're looking for someone who enjoys solving complex technical challenges, embraces ambiguity and wants to make a lasting impact through technical leadership and engineering excellence. SKILLS, KNOWLEDGE, AND EXPERTISE We're looking for someone with: * Extensive commercial experience in Computer Vision with a strong grounding in applied mathematics and physical modelling. * Expertise in trajectory estimation, motion reconstruction, projectile physics or similar 2D-to-3D reconstruction problems. * Experience designing Computer Vision algorithms for detection, tracking, calibration or reconstruction systems. * Experience working with camera-based data sources, tracking pipelines or spatial and temporal datasets. * Strong C++ development experience. * Python experience for prototyping, experimentation or tooling would be advantageous. * Experience deploying or optimising algorithms for embedded or edge GPU hardware, particularly NVIDIA Jetson, is highly desirable. * Working knowledge of Machine Learning techniques is beneficial; however, this role is primarily Computer Vision and applied modelling focused rather than Machine Learning research focused. * Comfortable working with ambiguity and evolving requirements within a fast-paced, product-focused engineering environment. * Excellent communication skills with the ability to collaborate across Computer Vision, Machine Learning, backend, frontend and data platform teams. * Experience influencing technical direction and contributing to architecture decisions. WHAT THIS ROLE IS NOT To help set expectations, it's important to understand what this role focuses on: * This is not a pure Machine Learning research role. The emphasis is on applied Computer Vision, mathematical modelling and delivering production-ready solutions rather than researching or training novel Machine Learning models. * This is not a Data Engineering role. You'll be responsible for producing high-quality model outputs, while separate teams own data storage, transformation, APIs and wider platform services. * This is not a people management role by default. As a Principal Engineer, you'll provide technical leadership, influence engineering decisions and mentor through technical expertise. Depending on the team structure, there may be opportunities to lead a squad or technical discipline, but direct line management is not a core responsibility. REWARD, BENEFITS, AND WELLNESS We offer a comprehensive package to support your growth and well-being. UNITED KINGDOM * Annual Leave: 25 days (excluding bank holidays). * Enhanced Pension Scheme: 5% matching. * Flexible Working: Hybrid model (minimum 2 days in the office per week). * Wellness: Complimentary Unmind app and onsite gym (Basingstoke). * Exclusive Perks: Access to sporting events and tickets, plus Sony Group Company discounts. HUNGARY * Annual Leave: Standard according to local labour law. * Flexible Working: Hybrid model (2 days in our office per week). * Exclusive Perks: Access to sporting events and tickets, plus Sony Group Company discounts. * Additional Benefits: Cafeteria options (SZÉP Card, Nursery & Kindergarten contributions, Annual MOL Bubi Pass), private medical insurance, life & accident insurance, MindentMent Dental Clinic discounts, seniority awards, and an Employee Assistance Program. ABOUT US Hawk-Eye Innovations, part of Sony Sports Technology, is a world leader in sports technology. We deliver sophisticated officiating, broadcast and player tracking solutions across more than 25 international sports. Every year, our technology supports over 30,000 sporting events across more than 500 stadiums in 90 countries. Our Innovation Hub focuses on solving the next generation of technical challenges, developing cutting-edge Computer Vision and Machine Learning solutions that continue to redefine what's possible in sports technology. EQUAL OPPORTUNITY STATEMENT As an active part of a culturally and socially diverse society, Sony Sports Technology is committed to building a workforce that is diverse, inclusive and representative of the communities we serve. Sony Sports Technology is an equal opportunity employer and welcomes applications from people of all backgrounds and experiences. We recruit, retain, develop and promote people based on their skills, qualifications and experience. Our commitment is to provide a respectful, inclusive environment where everyone has the opportunity to contribute, grow and succeed. APPLY TODAY Join Hawk-Eye Innovations and help shape the future of sports technology. As a Principal Computer Vision / Machine Learning Engineer, you'll work on some of the most technically challenging problems in Computer Vision, applied mathematics and real-time tracking, helping build the next generation of world-leading sports technology.

Arbetsuppgifter AI håller snabbt på att bli den främsta författaren av världens programvara. Dagens modeller genererar kod i en hastighet som ingen människa kan matcha – men hur kan vi lita på kod som vi inte själva har skrivit? Formell verifiering erbjuder en väg till matematiskt garanterad korrekthet, men att förena den med AI-baserad kodgenerering reser djupa och till stor del olösta utmaningar. Som postdoktor angriper du just denna fråga: hur vi kan generera kod med AI och formellt verifiera att den gör det den ska. Arbetet kombinerar modern AI/LLM-baserad kodgenerering med formella metoder för att skapa programvara som är både snabb att ta fram och bevisbart pålitlig. Anställningen är en del av SAFIR (Secure AI for Intelligent Resilience and Confidentiality in the Cloud), ett samarbetsprojekt på 2,5 miljoner euro mellan KTH, Saab, Nvidia, Ericsson, Red Hat, CanaryBit och RISE, som bygger nästa generations säkra och tillförlitliga AI för kritiska områden som telekom, försvar och moln. Du blir en del av forskargruppen Machine-Intelligence for Networks and Distributed Systems (MINDS) vid Institutionen för data- och lärandesystem, Skolan för elektroteknik och datavetenskap (EECS), i en internationell och dynamisk miljö med starka akademiska och industriella samarbeten. Du får tillgång till internationella superdatorresurser och ett toppmodernt labb utrustat med NVIDIA H100- och A100-GPU:er samt tio NVIDIA RTX Pro 6000-GPU:er. Kvalifikationer Krav Avlagd doktorsexamen eller utländsk examen som bedöms motsvara en doktorsexamen. Detta behörighetskrav ska vara uppfyllt senast vid tidpunkten då anställningsbeslutet fattas. Kandidaten har god förmåga att samarbeta med andra forskare. Kandidaten kan utföra sitt arbete med en hög grad av självständighet. Medvetenhet om mångfalds- och likabehandlingsfrågor med särskilt fokus på jämställdhet Meriterande Vid sista ansökningsdag högst tre år sedan doktorsexamen eller en utländsk examen som bedöms motsvara doktorsexamen avlades. Expertis inom formell verifiering. Expertis inom AI. Vi kommer att lägga stor vikt vid personliga egenskaper. Bli en del av KTH   KTH formar framtiden genom utbildning, forskning och innovation. Som ett ledande internationellt tekniskt universitet spelar vi en aktiv roll i att driva och medverka i omställningen till ett hållbart samhälle. Här erbjuds du möjligheten att växa och utvecklas på en kreativ och dynamisk arbetsplats med goda arbetsvillkor och förmåner. Jämställdhet, mångfald och lika villkor är en kvalitetsfråga och en självklar del av KTH:s värdegrund som universitet och statlig myndighet. Läs mer om våra förmåner och hur det är att arbeta och utvecklas på KTH. Fackliga representanter Kontaktuppgifter till fackliga representanter. Ansökan Du ansöker via KTH:s rekryteringssystem. Du som sökande har huvudansvaret för att din ansökan är komplett när den skickas in. Ansökan ska innehålla:  CV inklusive relevant yrkeserfarenhet och kunskap. Personligt brev, med ditt förväntade datum för doktorsexamen (disputation). Kopia av examensbevis och betyg från dina tidigare universitetsstudier. Översättningar till engelska eller svenska om de ursprungliga dokumenten inte utfärdas på något av dessa språk. Kortfattad redogörelse för varför du vill bedriva forskning, dina akademiska intressen och hur de relaterar till dina tidigare studier och framtida mål. max 2 sidor lång.  Ansökan ska vara KTH tillhanda senast sista ansökningsdagen vid midnatt, CET/CEST (Central European Time/Central European Summer Time). Om anställningen Anställningen gäller tillsvidare, dock längst två år En anställning som postdoktor är en tidsbegränsad meriteringsanställning med huvudinriktning mot forskning avsedd som ett första karriärsteg efter disputation. Övrigt För information om behandling av personuppgifter i samband med rekrytering. Det kan förekomma att en anställning hos KTH är placerad i säkerhetsklass. Om så är fallet för just denna anställning görs en säkerhetsprövning av sökande i enlighet med säkerhetsskyddslagen (2018:585) efter samtycke. I dessa fall är en förutsättning för anställning att sökande blir godkänd efter säkerhetsprövning. Vi undanber oss direktkontakt med bemannings- och rekryteringsföretag samt försäljare av platsannonser.

Jobbeskrivning Sigma Connectivity’s Edge AI initiatives span multiple domains—computer vision, audio intelligence, sensor fusion, and embedded ML—delivering low‑latency, privacy‑preserving intelligence directly on devices across diverse hardware platforms. Projects routinely involve developing and optimizing ML models for tasks such as gesture recognition, defect detection, object tracking, and contextual human‑machine interaction, deployed on edge hardware including Qualcomm, NVIDIA, NXP, and other MCU‑class systems. Work includes quantization, DSP/NPU acceleration, real‑time analytics, and combined cloud–edge pipelines that enhance precision while keeping compute close to the data source. We are looking for a skilled ML Engineer to join our growing team and contribute to the development of advanced edge AI solutions. Your work will include - Model Design and Deployment: On-Device Design, train, and validate ML models for computer vision, sensor fusion, signal processing, and predictive analytics. Develop and optimize ML pipelines for on‑device inference, including quantization, power/performance tuning, and DSP/NPU acceleration. Monitor, test, and optimize the performance of deployed models to ensure accuracy, scalability, and maintainability. Data Processing & Analysis Build data ingestion, preprocessing, and feature‑engineering pipelines for both edge and hybrid (Edge + Cloud) deployments. Extract, process, and analyse large datasets to generate actionable insights and continuously improve model performance. Collaboration Work with cross‑functional teams—architects, embedded developers, PMs, UI/UX, and customers—to develop and integrate ML functionality into real products. Participate in prototyping, PoCs, and contribute to customer dialogues and technical presentations. Participate in technical discussions, document your work, and clearly explain the trade-offs and decisions behind the solutions you present. Stay Current Keep up to date with the latest trends, tools, and technologies in AI/ML to ensure our solutions are cutting-edge. We are looking for - Strong hands‑on experience in Python, ML frameworks such as PyTorch or TensorFlow, and classical CV libraries (OpenCV, scikit‑learn). Ability to build and deploy ML models for Edge or Embedded platforms, preferably with experience on Qualcomm, Nordic, NXP, or similar SoCs. Familiarity with quantization, model compression, benchmarking, and inference profiling on constrained hardware. Experience with data pipelines, including data validation, augmentation, and performance analysis. Understanding of end‑to‑end ML lifecycle, including experimentation, evaluation, and deployment in production environments. Master’s or PhD in ML, Robotics, Autonomous Systems or related fields. 2+ years of hands-on experience developing and deploying ML models in production. Proven experience in one or more of:Computer vision Time‑series or sensor‑data ML LLM‑based or hybrid AI systems Effective communication skills and experience working in cross-functional teams. Passionate about staying up to date with emerging technologies, methodologies, and industry trends in AI/ML. Bonus: Knowledge of MLOps, FastAPI, Docker, CI/CD, and cloud platforms such as Azure or AWS We Provide - Cutting-Edge Projects: Opportunity to work with industry-defining technologies in terms of applied research and pushing functional boundaries. Vibrant Work Environment: We have technical experts from 25 nationalities as part of our team and disruptive ideas are a daily occurrence whether it is a groundbreaking mesh technology, a radical approach to manage power and performance on edge devices, or creative solutions to enhance model efficiency. Work-Life Balance: We understand the importance of balancing work and personal life. Our flexible work hours and remote work options help you maintain this balance. Competitive Pay: We offer a salary that aligns with industry standards, ensuring you are fairly compensated for your skills and experience. Generous Vacation Time: Enjoy a healthy work-life balance with 25 days of annual paid vacation. We believe time off is crucial for your well-being and productivity. Health and Wellness Benefits: Dedicated yearly health and wellness allocation.

ABOUT US STARK is a new kind of defence technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective. This provides our operators with a decisive edge in highly contested environments. We’re focused on delivering deployable, high-performance systems - not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe - today. YOUR MISSION You will develop and integrate embedded and backend software that runs on our unmanned systems. The work ranges from implementing ROS2 components to supporting hardware bring-up and testing. RESPONSIBILITIES * Develop embedded/back-end software modules for UAV systems * Implement ROS2 nodes, interfaces, and integration logic * Work on embedded Linux platforms and support hardware bring-up * Debug issues across software, firmware, and hardware boundaries * Support system testing and validation with hardware-in-the-loop in real life * Collaborate with Autonomy, Flight Controls, and Hardware teams * Contribute to clean, reliable code and clear documentation QUALIFICATIONS * Experience in C++ development for embedded or robotics systems * Solid background in ROS2 (nodes, topics, services, DDS) * Familiarity with Linux-based development * Understanding of sensors, communication protocols, and integration challenges * Experience with robotics, UAVs, or other mission-critical systems is an advantage * Hands-on mindset; comfortable testing on actual hardware * Nice to have experience of Computer Vision, Sensor Processing and NVIDIA Jetson  * Excellent communication and stakeholder management experience * Native/ Full professional proficiency Swedish or Norwegian  language skills are a must have * You must be eligible for Swedish security clearance (Säkerhetsprövning) and be willing to travel to Germany and other European locations when needed.

Professional Galaxy är ett IT- och teknikkonsultbolag som tillhandahåller högspecialiserad kompetens inom IT, mjukvaruutveckling, SAP, inköp, elektronik och mekanisk konstruktion. Vi samarbetar med erfarna seniora experter och levererar strategiskt värdeskapande kompetens till några av Sveriges mest komplexa och analytiskt krävande projekt. Vårt fokus ligger alltid på hög kvalitet, professionalism och tydliga, mätbara resultat. Vi söker nu en Data & AI Platform Engineer – Technical Lead hos vår kund. Om uppdraget De söker en Technical Team Lead till vårt team inom Software Excellence och Information Assurance (SWEIXA). I denna seniora roll leder du teamet och ansvarar för design, implementation, installation, konfiguration och support av molnnativa Data & AI-plattformar. Du blir en nyckelperson och teknisk ledare i arbetet med att designa, implementera och leverera AI-lösningar. Rollen innebär även att bidra med djup kunskap om AI-verktyg – deras möjligheter och begränsningar – samt att delta i dialoger med kunder för att förstå och omsätta tekniska behov till fungerande lösningar. Vår kund söker dig som är kreativ, lösningsorienterad och kommunikativ, med en stark teknisk grund inom Kubernetes, automation och hantering av stora datavolymer. Du fungerar även som mentor och tekniskt stöd till teamet inom molnnativa lösningar och modern molnarkitektur. Huvudsakliga ansvarsområden Ansvara för end-to-end-arkitektur, systemdesign och teknisk implementation av plattformen. Ta fram use case och delta i utvecklingen av kompletta AI-system. Förstå kundens verksamhetsbehov och översätta dessa till tekniska arkitekturlösningar. Leda implementation och driftsättning, inklusive installation, konfiguration och felsökning. Tillhandahålla och delegera teknisk support inom Data & AI-relaterade områden. Hålla dig uppdaterad kring den senaste utvecklingen inom AI och bidra strategiskt till produktens roadmap. Genomföra regelbundna genomgångar och optimeringar av Data & AI-miljöer. Ta fram riktlinjer för hantering av AI-miljöer. Coacha och utveckla juniora medarbetare samt bidra med tekniskt ledarskap. Resor kan förekomma. Krav Gedigen erfarenhet av Golang och andra systemnära programmeringsspråk, inklusive utveckling av Kubernetes-operatorer. Högskole- eller civilingenjörsexamen inom exempelvis data engineering eller motsvarande arbetslivserfarenhet. Praktisk erfarenhet av molnarkitektur, högpresterande applikationer (molnnativa och traditionella), samt hur DevSecOps best practices tillämpas. God förståelse för DevOps, GitOps-flöden och developer enablement. Erfarenhet av scripting och automatisering med exempelvis Shell eller Python. Stark kunskap inom Linux och containerteknik (certifieringar inom Linux/Kubernetes är meriterande). Erfarenhet av CI/CD-pipelines med exempelvis ArgoCD, Argo Workflows, GitHub Actions eller liknande verktyg. Erfarenhet av sårbarhetsskanning av tredjepartsbibliotek och containerimages. Erfarenhet av att bygga molnnativa/Kubernetes-baserade miljöer i verksamheter med stora datavolymer. Erfarenhet av agentisk AI-utveckling eller användning av copilot-verktyg. Erfarenhet av modellimplementering och driftsättning. Meriterande Erfarenhet av bygg-, test- (unit, integration, end-to-end), SAST/DAST-processer, Artifactory-release och deployment till staging/produktion. Kunskap inom LLM-koncept (prompting, RAG). AI-certifieringar (Google/AWS/Microsoft). NVIDIA Developer-certifiering. SAFe- eller annan agil certifiering. Kunden erbjuder En dynamisk och internationell arbetsmiljö. Goda möjligheter till professionell utveckling och kompetensutveckling. Konkurrenskraftiga villkor och förmåner. Möjlighet att arbeta med avancerad AI-teknik och bidra till utvecklingen av framtidens lösningar. Övrig information Placeringsort: Stockholm Arbetsmodell: På plats Sista ansökningsdag: 2026-04-06 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 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.

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.