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Sr. Machine Learning Engineer
SAIC Motor · San Francisco, CA · Posted 25 days ago
Architect vision systems for hundreds of autonomous vehicles while optimizing camera ISP for GM's next-generation self-driving cars.
Job Description 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.
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There are 829 open roles at SAIC Motor right now. This role is one of 33 Machine Learning Engineer openings in San Francisco, CA and centers on Camera Isp, Image Signal Processing, C/c++, and Python.
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