Senior Camera ISP Engineer, Autonomous Vehicles

General Motors; San Francisco (CA); Hybrid; USD 175,000 - 250,000; Full time

Benefits offered by this job

Bonus potential

Health and wellbeing benefits

Relocation benefits

Job summary

General Motors is seeking an expert Sr. Camera ISP Engineer to join the Autonomous Vehicle team, developing embedded platform software and camera data pipelines for self-driving vehicles.

You’ll collaborate with hardware, embedded software, systems, AI engineers, and external vendors to tune ISP for ADAS and autonomous driving. You will evaluate image quality using lab charts and real-world scenes, optimize HDR and ISP settings, and support collaboration with ML and sensor teams to scale sensing

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.
• Hands-on experience tuning 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.

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

Skills

Camera ISP tuning

Image processing

Programming

Image quality evaluation

Education

BS/MS/PhD in imaging

Tools

Imatest

C/C++

Python

Job description

General Motors is seeking an expert Sr. Camera ISP Engineer to join the Autonomous Vehicle team, developing embedded platform software and camera data pipelines for self-driving vehicles.

You’ll collaborate with hardware, embedded software, systems, AI engineers, and external vendors to tune ISP for ADAS and autonomous driving. You will evaluate image quality using lab charts and real-world scenes, optimize HDR and ISP settings, and support collaboration with ML and sensor teams to scale sensing