Camera Integration Engineer – ADAS

About this job

About the roleWe are looking for a Camera Integration Engineer for an assignment with one of our clients in the automotive industry. You will work hands-on with camera integration on NVIDIA-based automotive compute platforms for ADAS applications. The work covers the whole camera pipeline, from low-level driver development and camera bring-up to image quality validation and handling camera data. The assignment starts at short notice, and you will go straight into ongoing integration and debugging work. What you’ll do Integrate camera sensors on NVIDIA DRIVE platforms in an automotive/ADAS environment Develop, configure and debug camera drivers, including sensor-to-SoC communication and camera bring-up Configure and troubleshoot GMSL2/GMSL3 serializer/deserializer links Run image quality checks, validate the image pipeline and debug image acquisition issues Handle high-bandwidth camera streams, including video encoding and compression Set up efficient capture, buffering, compression and logging of high-volume camera data for validation and ADAS development Work on multi-camera synchronization, timestamping and frame synchronization, including hardware-level sync Troubleshoot at system level across the camera sensor, SerDes, driver and compute platform Who you areYou’re a hands-on engineer who enjoys getting systems to work in practice. You like digging into hardware–software issues, you work in a structured way when debugging, and you can contribute quickly in a fast-moving integration project. You’re more at home at the bench and in the code than in purely conceptual or architectural work. Requirements B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, Embedded Systems or a related field Proven hands-on experience with camera integration on NVIDIA DRIVE platforms in automotive/ADAS Experience developing and debugging camera drivers, SerDes configuration and camera bring-up Practical experience with GMSL2 and/or GMSL3, including link establishment and troubleshooting Experience with image quality validation and image pipeline debugging Experience with video encoding/compression and high-bandwidth data streams Understanding of multi-camera synchronization and timestamping Available to start at short notice AlsoIt’s a plus if you have experience with: Embedded Linux and/or QNX, and C/C++ development V4L2, NVIDIA DriveOS/DriveWorks or similar camera frameworks Logging and data recording solutions for ADAS development ISP tuning or camera calibration Automotive safety standards (ISO 26262) Swedish Your application Does this sound like the opportunity you’ve been waiting for? Please go ahead and apply! For questions about the position, feel free to contact Patrik Artman, 0733-908035 or patrik.artman@mpyascitech.com. We look forward to hearing from you!

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