Bedrock Robotics
Camera Pipeline and Image Quality Engineer
San Francisco, CA · Hybrid · Full-time · Posted Jul 29, 2026
- Experience
- 8+ years of relevant industry experience; the posting also specifies 8+ years in embedded camera systems, ISP tuning, image quality engineering, or closely related roles.
- Education
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Optical Engineering, Physics, or a related field.
About the job
Own and improve the embedded camera pipeline so imagery supports autonomous perception and human teleoperation across demanding lighting and field conditions.
What you'll do
- Diagnose image-quality failures, tune ISP and imager settings, and validate performance across lighting conditions.
- Develop and integrate embedded camera drivers, synchronization, and software interfaces for autonomy systems.
- Establish image-quality tests and work with perception, autonomy, sensing, and vendors to meet camera requirements.
What they ask for
- Hands-on ISP tuning on real hardware and familiarity with AE algorithms and HDR pipelines.
- Embedded camera driver experience and familiarity with camera data pipelines and autonomy middleware.
- Understanding of sensor fundamentals, radiometry, and effects of ISP tuning on ML/perception performance.
- Strong data analysis skills; comfort with C/C++ and/or Python.
Nice to have
- Experience with outdoor autonomous or robotic platforms in harsh environments and automotive-grade camera interfaces or embedded compute.
- Experience supporting both human viewing and ML perception, active illumination, or IEC 60825-1 eye-safety analysis.
Tools
V4L2, MIPI CSI-2, GMSL, I2C, ROS2, C/C++, Python, Nvidia Jetson/Orin
AI focus
Camera pipeline and image-quality work supporting ML perception models and autonomous systems; validate that ISP changes do not degrade model behavior.
Model-written summary · the original posting is authoritative