Senior Camera ISP Engineer - Autonomy & ML Impact

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

Benefits offered by this job

Health insurance

Retirement savings plan

Paid vacation & holidays

Relocation benefits

Job summary

General Motors in San Francisco is seeking a Sr. Camera ISP Engineer to lead ISP tuning for autonomous vehicle imaging. You will work with cross-functional teams and external vendors to define specs, develop software, and evaluate image quality for real-world scenarios.

You will characterize sensors, tune HDR and ISP settings, and collaborate with ML engineers to scale sensing strategies across fleets. Hybrid role with travel as needed.

Qualifications

• BS/MS/PhD in imaging science, EE, CS, or similar field with 4+ years hands-on ISP tuning.
• Hands-on experience tuning ISP modules – AE, AWB, HDR, noise reduction and sharpness.
• Experience with various ISP architectures and camera development.
• Characterizing image sensors and tuning sensor settings.
• Experience with image quality evaluation software (Imatest) and programming in C/C++ or Python.

Responsibilities

• Deliver Camera Image Signal Processing (ISP) tuning optimized for autonomous vehicle use-cases.
• Collaborate with cross-functional teams and external vendors on specs, system definition, software development, and IQ evaluation.
• Design and execute objective/subjective image quality evaluations using lab charts and real-world scenes.
• Work with sensor validation and vehicle fleet teams to characterize ISP and troubleshoot quality issues.
• Partner with ML engineers and hardware teams to architect sensing strategy at scale.

Skills

Camera ISP tuning

Imatest

Python

C/C++

Image processing

Education

BS, MS/ PhD in imaging science, EE, CS, or similar field

Tools

Imatest

Job description

General Motors in San Francisco is seeking a Sr. Camera ISP Engineer to lead ISP tuning for autonomous vehicle imaging. You will work with cross-functional teams and external vendors to define specs, develop software, and evaluate image quality for real-world scenarios.

You will characterize sensors, tune HDR and ISP settings, and collaborate with ML engineers to scale sensing strategies across fleets. Hybrid role with travel as needed.