Senior ISP Engineer

The Role GM is developing the next generation of embedded platform software to deliver state-of-the-art ADAS features to our customers. We are looking for an expert Sr. Camera ISP Engineer to join our Autonomous Vehicle team and help us build the best self-autonomous system in the world. In this position, you will be part of the Autonomy Interface Software team, which is responsible for developing camera data pipelines for autonomous vehicles. You will interact with camera hardware engineers, embedded software engineers, systems engineers, Embodied AI engineers, technical program managers internally, and various external imager component vendors to ensure high-quality cameras are designed, manufactured, and tuned.  You will be working closely with an embedded software team to enable Camera ISP functionality on new hardware.  If you are looking to solve one of today’s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world, join us.    What   You’ll   Do       Responsible for delivering Camera Image Signal Processing (ISP) tuning   optimized   for autonomous vehicle use-cases    Work closely with cross-functional teams and external vendors on specifications, system definition, software development, and image quality tuning and evaluation   Design and execute comprehensive   objective   and subjective image quality evaluations using lab charts and real-world scenes, selecting   appropriate metrics   and analyses for each,   leveraging   tools such as   Imatest   and other chart/scene-based analysis methods, and developing GM-specific test scripts and IQ specification analysis tools .     Solid understanding of image sensors   to   o ptimize   HDR sensor configurations and ISP settings for autonomous driving scenarios, aligning   objectives   and success metrics across EAI, system, and sensor teams.   Work with sensor validation and vehicle fleet teams   to perform   ISP characterization, image quality   tuning   and evaluation, and troubleshoot   image quality related issues   Collaborate with machine   learning   engineers   and hardware teams to architect sensing strategy for autonomous vehicles at scale   Innovate new techniques and conduct studies in   optimizing   ISP and performance for machine   perception     Your Skills & Abilities (Required Qualifications)        BS, MS/ PhD in imaging science, EE, CS, or similar field with   4 + years of hands-on experience in camera ISP tuning and evaluation   Must have hands-on experience   tuning   various ISP modules   – AE, AWB, HDR processing, noise reduction and sharpness, tone mapping, and color tuning   Experience with different ISP architectures and camera development   Experience characterizing image sensors and tuning image sensor settings   Experience with at least one image quality evaluation software, preferably   Imatest   Proficiency   in programming languages like C/C++ or Python   E xperience in image processing and data analysis   What Will Give You a Competitive Edge (Preferred Qualifications)        Experience with automotive ISP tuning is a big plus   Exposure to firmware design and/or real-time systems   Experience with vendor management and manufacturing processes   Hands-on experience   optimizing   image sensor–level IQ settings and operating modes to balance noise, dynamic range, motion blur, and artifacts for ADAS/autonomous use cases.   Experience with optimizing camera ISP for computer vision algorithms or M achine Learning .     Experience evaluating how sensor hardware and optical design impact image quality and ISP tuning trade-offs.

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