# Camera Pipeline and Image Quality Engineer at Bedrock Robotics

- Company: Bedrock Robotics
- Company website: https://bedrockrobotics.com
- Type: Startups
- Level: Mid level
- Location: San Francisco, CA
- Work setup: Remote
- Posted: 2026-07-29
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/bedrock-robotics/63a38fa3-cb64-4104-8f06-d5036c8b315c
- Page: https://www.1752.vc/careers/jobs/bedrock-robotics-camera-pipeline-and-image-quality-engineer/

## About the role

Own the camera pipeline end to end: diagnose image quality failures, tune ISP parameters, and validate improvements across the full operating radiometric range from bright daylight to night with machine-mounted illumination Own embedded camera driver development and integration: register-level control, frame synchronization, and software interfaces that expose runtime ISP parameter control to the autonomy stack

## What they're looking for

- Hands-on experience writing or integrating embedded camera drivers (V4L2, MIPI CSI-2, GMSL, I2C) and building the tooling and software interfaces that expose ISP and imager control to an autonomy software stack
- Familiarity with camera data pipelines on embedded platforms: frame synchronization, timestamping, compression, bandwidth management, and integration with autonomy middleware (ROS2 or similar)
- Understanding of how ISP tuning choices affect downstream ML/perception model performance, and experience validating that pipeline changes do not degrade existing model behavior
- Working knowledge of camera sensor fundamentals (CMOS architecture, shutter types, CFA patterns, dynamic range, sensitivity, and binning) sufficient to reason about how sensor choice and configuration interact with ISP behavior
- Working knowledge of radiometry sufficient to interpret photon budget models, SNR predictions, and motion-blur constraints as inputs to ISP tuning requirements
- Strong data analysis skills, including experience working with large datasets, building quantitative models, and using statistical methods to characterize real-world system behavior

Tags: Engineering