Embedded Engineer Automotive

Senior System Engineers within HW, Radio, Embedded Software & Security Apply for this job Multiply Teknik & IT is a dedicated Engineering and IT partner serving customers with complex technical and digital challenges. We help identify and amplify customer value through engineering, software, cybersecurity, system development, automation, cloud, integration and end-to-end delivery. We are now looking for Senior System Engineers to strengthen our teams across assignments involving hardware, radio systems, embedded software, system architecture, cybersecurity and safety-critical technology. You may work on solutions involving connected products, embedded platforms, radio communication, electronics, secure systems, industrial applications, validation, requirements, architecture and product development in demanding technical environments. System Engineering Tracks Please apply under the track that best matches your experience. Senior Hardware System Engineer Relevant experience: Hardware system design, electronics, embedded systems, PCB understanding, sensors, power electronics, product development, requirements, verification, validation, technical documentation and cross-functional engineering work. Questions: How many years of experience do you have within hardware or electronics engineering? Have you worked with system-level hardware design or product development? What types of products, platforms or technical systems have you worked with? What experience do you have with requirements, verification, validation or technical documentation? Senior Radio System Engineer Relevant experience: Radio systems, RF engineering, wireless communication, antennas, connectivity, telecom, 4G/5G, Bluetooth, Wi-Fi, GNSS, signal quality, testing, certification, troubleshooting and system-level radio performance. Questions: How many years of experience do you have within radio, RF or wireless systems? Which radio technologies or communication standards have you worked with? Have you worked with testing, troubleshooting, certification or performance analysis? What types of products, platforms or customer environments have you supported? Senior Embedded Software Engineer Relevant experience: Embedded C/C++, real-time systems, Linux, RTOS, device drivers, firmware, microcontrollers, communication protocols, diagnostics, software architecture, testing, CI/CD, debugging and product-oriented software development. Questions: How many years of experience do you have with embedded software development? Which languages, platforms and operating systems have you worked with? Have you developed firmware, drivers, communication protocols or embedded applications? What tools have you used for debugging, testing, CI/CD and version control? Senior Security System Engineer Relevant experience: Cybersecurity, secure system design, embedded security, product security, threat analysis, risk assessment, security requirements, vulnerability management, encryption, secure communication, ISO 21434, IEC 62443 or similar standards. Questions: How many years of experience do you have within cybersecurity or product security? Have you worked with security requirements, threat analysis or risk assessment? What security standards, tools or methods have you used? Have you worked with embedded, industrial, automotive, telecom or safety-critical systems? General Skills We Value Across all tracks, we value strong system engineering fundamentals, technical leadership, requirements management, architecture thinking, verification and validation, structured problem-solving, cross-functional collaboration and clear communication. Bonus points for experience from industrial systems, automotive, telecom, energy, medtech, IoT, safety-critical systems, cybersecurity or secure product development. Swedish or Norwegian fluency is also a plus. Citizenship & Security Check Some assignments may involve security-classified environments, regulated industries or customer-specific security requirements. For these roles, candidates may need to meet citizenship requirements and be able to pass a security screening or background check before starting the assignment. Please include in your application: Your citizenship or work authorization status. Whether you are able to complete a customer-required security check. Any previous experience from security-classified, defence, telecom, energy, automotive, industrial or other regulated environments. How to Apply Please state which track you are applying for: Senior Hardware System Engineer, Senior Radio System Engineer, Senior Embedded Software Engineer, Senior Security System Engineer, or Senior System Engineer. Include your CV or LinkedIn profile, preferred technical area, years of experience, relevant projects, availability, language skills and brief answers to the questions for your chosen track.

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.