Solid understanding of image sensors to optimize 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
Experience 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 Machine 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 <25% for this role.

Relocation benefits are available for candidates who qualify under company policy.

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