Senior ISP Engineer

About this role

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. 

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.  

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington • Compensation: The expected base compensation for this role is : $174,900 - $250,200 Actual base compensation within the identified range will vary based on factors relevant to the position. • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays.

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This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

The selected candidate will be required to travel About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us   We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

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