Jobs · Engineering · California

Senior ISP Engineer

General Motors · San Francisco, CA · 3 mo ago
HybridEngineering$175k–$250k/yrFull-time

About the Role

GM is developing the next generation of embedded platform software to deliver state-of-the-art ADAS features. We are looking for an expert Sr. Camera ISP Engineer to join our Autonomous Vehicle team and help build the best self-autonomous system in the world. You will be part of the Autonomy Interface Software team, responsible for developing camera data pipelines for autonomous vehicles. You will collaborate with camera hardware engineers, embedded software engineers, systems engineers, Embodied AI engineers, technical program managers, and external imager component vendors to ensure high-quality cameras are designed, manufactured, and tuned. You will work closely with an embedded software team to enable Camera ISP functionality on new hardware.

Responsibilities

  • Deliver 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. Leverage tools such as Imatest and other chart/scene-based analysis methods, and develop GM-specific test scripts and IQ specification analysis tools.
  • 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.

Requirements

  • BS, MS, or PhD in imaging science, EE, CS, or a similar field with 4+ years of hands-on experience in camera ISP tuning and evaluation.
  • 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.

Skills

  • Experience with automotive ISP tuning (preferred).
  • 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 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.

Pay

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. An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

  • Medical, dental, and vision insurance.
  • Health Savings Account and Flexible Spending Accounts.
  • Retirement savings plan.
  • Sickness and accident benefits.
  • Life insurance.
  • Paid vacation and holidays.

Schedule

This role is categorized as hybrid. The selected candidate is expected to report to a specific location at least 3 times a week. Travel may be required up to 25% of the time. This job may be eligible for relocation benefits.

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