Embedded AI Engineer, Lund

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.

Are you hands-on when needed for test, lab and automation, but more importantly see the bigger picture and know how to get an entire team involved and united around quality? Do you want to do that in an environment where AI isn't just a talking point, but how you actually work? We're looking for a QA Engineer to join our Device Management Test team in Lund. Who is your future team? You'll join the Device Management Test team within R&D QA, working in our Developer Experience team, a highly skilled, AI-first group at the forefront of how Axis builds with AI for the future. Axis partners build on our cloud platform, everything from device management and video streaming to analytics. Your team's job is to make that easy: intuitive APIs, robust SDKs, and tools that let partners ship fast, securely, and without friction. The result? Customers get flexibility, partners get speed to market, and everything stays compatible. Day to day, you'll work in an agile, cross-functional team that owns its software end to end, from development and testing through delivery and monitoring. You'll also have the support of test engineers across surrounding teams to maintain consistent test strategies and a unified methodology. This is a team where AI is embedded in everything we do, from how we approach strategy, ways of working and automation to how we think about quality at scale. If you have a genuine curiosity for AI and want to explore how it can transform quality assurance, you'll feel right at home here. What you'll do here as QA Engineer Yes, you'll troubleshoot bugs, set up labs, and build automation together with your team. But the bigger part of this role is stepping back and making sure quality is everyone's responsibility, not just yours. You set up the structures and processes that make it easy for the whole team to contribute. And you'll explore how AI can make our testing smarter, not just faster. Your work directly impacts the quality of the platform that Axis's partner ecosystem depends on - when you raise the bar, the entire developer experience improves. Testing and development: Develop and maintain automated test scripts and frameworks together with the team Perform user-centered testing based on use cases, with a focus on usability, security, and the customer perspective Test early in the development cycle alongside developers, including troubleshooting, debugging, and root-cause analysis Build and maintain, with the help of the team, the monitoring, analysis, and tooling needed for our production systems, and act on findings to improve quality Strategic quality and team enablement: Drive the test strategy, scope, approach, and priorities, leveraging AI where it adds the most value Ensure an end-to-end perspective, so that integrations and cross-team flows are thoroughly covered Identify where test automation and manual testing - including AI-powered approaches - creates the greatest value, and drive its adoption Set up shared test processes, guidelines, and standards that enable the whole team to contribute to quality - and proactively identify risks, gaps, and metrics to keep stakeholders informed Who are you? You love testing and making sure customers get a top-tier experience with our solutions, but you also see how all the pieces fit together and take initiative to make the team better as a whole. You communicate with clarity, whether you're pairing with a developer on a tricky bug or aligning with stakeholders on quality priorities. You have the drive to push things forward, the structure to keep things organized, and the collaborative spirit to bring everyone along. You bring the experience and confidence to influence technical decisions, guide less experienced colleagues, and take ownership without needing to be told. Crucially, you have a genuine interest in AI and its potential to transform how we approach testing, quality, and automation. You're curious, eager to learn, and excited about working in a team that puts AI first in everything it does. We'd love to hear that you have: A degree in engineering (M.Sc. or B.Sc.), information systems, or equivalent experience Demonstrated experience in software testing A strong end-to-end mindset, the ability to understand how individual components integrate into a complete, working solution Solid technical understanding of test architecture and automation frameworks Broad knowledge of test types (i.e. unit, integration, system, and acceptance testing) Professional proficiency in Swedish and English Bonus points for: Experience coordinating or leading test efforts across multiple teams Hands-on experience with AI and machine learning applied to testing or quality assurance Familiarity with cloud-based platforms, APIs, SDKs, or web services Professional experience in testing applications, web services, or APIs Knowledge of CI/CD pipelines and how test automation integrates into them Comfort with a DevOps mindset and shared responsibility for production systems Knowledge in programming - from your education, professional experience, or personal projects Ready to Act? 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! Apply today or find out more from our hiring manager Pernilla Allansson at .