Senior ISP Engineer

General Motors•San Francisco, CA

1d•$174,900 - $250,200•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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.

Responsibilities

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 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