Embedded AI Engineer, Lund

Sigma Connectivity AB

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.

AXIS COMMUNICATIONS AKTIEBOLAG

As AI transforms software development, it should also transform how we approach quality assurance. Are you an experienced QA Engineer who wants to help define what modern QA looks like - combining solid engineering expertise with curiosity and a passion for exploring new ways of working? Join us in Lund and shape the future of quality at Axis. Your future team You will be part of our central ITQA team - a community of QA professionals working together to continuously improve quality practices across the IT organization. In your daily work, you will be embedded in one of our agile development teams, where you share responsibility for the quality of that team's product throughout its entire lifecycle. You will act as the team's quality advocate while also contributing to the evolution of QA engineering across the wider organization. What you'll do here as QA Engineer We build and operate software that supports some of our most critical business processes and user-facing services. Delivering reliable, secure, and high-quality software has always been essential - and as the industry evolves, so must the way we approach quality. In this role, you will drive quality both within your development team and across the IT organization, with a real opportunity to influence how we work with quality in the years ahead. Drive Quality Engineering - Take ownership of quality throughout the software development lifecycle, from requirements and design to production and continuous improvement Shape the Future of QA with AI - Explore, evaluate, and implement AI-powered tools and practices that improve testing, automation, defect detection, risk analysis, and engineering productivity Build Modern Test Solutions - Design, implement, and maintain effective quality strategies using exploratory testing, automation, API testing, UI testing, integration testing, and AI-assisted approaches where they create value Influence our QA Strategy - Help define how QA Engineering should evolve by experimenting with new technologies and transforming successful ideas into sustainable ways of working Coach and Collaborate - Work closely with developers, Product Owners, architects, and fellow QA engineers to foster a quality-first culture where quality is built into the product Improve our Engineering Practices - Contribute to improving CI/CD pipelines, automation frameworks, development processes, and engineering efficiency Who are we looking for? We are looking for someone who takes strong ownership of their domain and naturally drives quality forward. You enjoy solving problems, challenging established ways of working, and continuously learning. You take initiative and suggest solutions to improve - not just pointing out issues but always bringing ideas to the table. You are structured in your approach, communicate clearly, and understand both the technical and collaborative aspects of software quality. You are curious about emerging technologies and excited by the opportunities AI creates - not because it is a trend, but because it can help us build better software. To succeed in this role, we believe you have: Solid experience in software testing and a deep understanding of agile development Experience testing complex systems, including API, integration, and UI automation Strong programming skills, preferably in Python, and experience with JavaScript or TypeScript Experience working with test automation frameworks and CI/CD pipelines A genuine interest in AI, Large Language Models, and how they can be applied to software quality and engineering Excellent English communication skills, both written and spoken Bonus points if you also bring: A bachelor's or master's degree in computer science, or equivalent experience Swedish language skills Experience coaching or guiding colleagues on quality practices and ways of working 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 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. 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 recruiting manager Ulrika Schönström +46 46 272 18 00 (Switchboard)

Knowit AB (Publ)

Your role As an Embedded Verification Engineer with us, you will work as a consultant, supporting leading automotive clients in the development and verification of next-generation embedded systems for vehicles. You will contribute to advanced development projects within areas such as vehicle control systems, ADAS, electrification, connectivity, and infotainment. In this role, you will work closely with software developers, system engineers, and hardware teams to ensure high-quality, robust, and safe embedded solutions that meet automotive industry standards. Your work will include designing and implementing verification strategies, developing automated test solutions, and contributing to the continuous improvement of testing processes. You will be involved in verification activities across multiple levels, from unit and integration testing to full system validation. The role also includes working with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) environments, debugging complex embedded systems, and integrating automated tests into modern CI/CD pipelines. As a consultant at Knowit, you represent the company at client sites, contributing not only with technical expertise but also with a professional, solution-oriented, and collaborative mindset. Through varied assignments and projects, you will gain exposure to different automotive domains and technical environments, providing excellent opportunities for professional growth. Who are you? We are looking for someone with experience in: Designing, developing, and maintaining verification and test solutions for embedded automotive systems, including developing and executing test cases at unit, integration, and system levels Programming in C and/or C++, with a strong understanding of software programming hygiene such as readability, maintainability, modular design, version control discipline, and clean coding practices Python and/or Bash scripting for automation and testing workflows Working with embedded operating systems such as Linux, QNX, Android, or other RTOS environments, including basic knowledge of the Android framework Version control and CI/CD tools such as Git, Gerrit, and Jenkins Working in automotive development environments following ASPICE and/or ISO 26262 Verification and testing in HIL (Hardware-in-the-Loop) and/or SIL (Software-in-the-Loop) environments, as well as working with diagnostics, software download processes, and DBC files You have a Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Mechatronics, or a related field. You are fluent in English. Swedish is highly meritorious depending on client assignment. You are a curious person who enjoys exploring different domains within the automotive industry. You have a flexible mindset and enjoy adapting to rapidly evolving technologies. You are comfortable taking initiative and applying a software engineering mindset in a traditionally mechanically driven industry. Collaboration across disciplines and contributing to both technical solutions and process improvements comes naturally to you. Meritorious experience It is considered a plus if you: Have experience within automotive domains such as ADAS, powertrain, electrification, chassis, or vehicle connectivity Have knowledge of AUTOSAR Classic and/or Adaptive, including basic understanding of ARXML and AUTOSAR configuration concepts Have experience working with automotive communication protocols such as CAN, LIN, FlexRay, or Ethernet Are familiar with test automation frameworks, test management tools, and development of safety-critical systems Have curiosity and hands-on experience using AI as a coding partner, or experience architecting solutions with support from AI-based tools Why Knowit? At Knowit Connectivity, you will have the opportunity to work in an innovative and learning-oriented environment where you continuously develop your skills. We combine technology and creativity to create value for our customers and for society. As a consultant with us, you will work with some of the most exciting technology challenges within the automotive industry. You will be part of a highly skilled and collaborative team that values knowledge sharing, technical excellence, and continuous improvement. Through diverse projects and assignments, you will have the opportunity to expand your expertise and grow professionally while contributing to the development of future mobility solutions. Would you like to know more about what it’s like to work with us? Visit our website or contact us directly.