Senior Camera ISP & Image Quality Engineer for Autonomy

Bedrock Robotics Inc; San Francisco (CA); On-site; USD 160,000 - 210,000; Full time

Job summary

Bedrock Robotics Inc is seeking a senior camera pipeline and image quality engineer to own the full camera stack—from embedded drivers and system interfaces through ISP tuning and ML/teleoperation readiness.

The ideal candidate will have 8+ years in ISP tuning and embedded camera systems, strong C/C++/Python skills, and experience with V4L2, MIPI CSI-2, GMSL, and ROS2. This role focuses on robust image quality across daylight to night conditions on rugged construction platforms.

Qualifications

• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Optical Engineering, Physics, or a related field
• 8+ years of experience in embedded camera systems, ISP tuning, image quality engineering, or closely related roles with a strong pipeline focus
• Demonstrated ability to characterize, diagnose, and improve camera image quality on fielded hardware
• Embedded systems experience: driver-level debugging and real-time constraints on embedded compute platforms
• Comfortable working in C/C++ and/or Python for driver-level work, tooling, and test automation

Responsibilities

• 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
• Characterize existing ISP pipeline behavior from first principles: identify root causes of image quality failures using parameter-level access, histogram analysis, raw vs processed frame comparison, and controlled test scenes
• Tune ISP and imager settings (exposure, white balance, HDR sub-frame ratios, tone mapping, noise reduction) to optimize image quality for both ML perception models and remote assistance/teleoperation
• Establish and run test protocols that confirm ISP changes improve low-light performance without adversely affecting existing daytime model performance or training data compatibility
• Work closely with perception, autonomy, and sensing engineering to translate scene and platform constraints into concrete ISP tuning targets
• Debug camera issues from sensor/ISP register state through to captured imagery, both in the lab and in the field
• Define and drive image quality characterization methodologies (SFR/MTF, noise, dynamic range, photon transfer curves) across hardware and ISP firmware generations
• Manage relationships with ISP, camera module, and embedded compute vendors

Skills

ISP tuning

Camera drivers

Camera pipelines

Embedded systems

C/C++

Python

ROS2

Data analysis

ETL testing

Education

Bachelor's or Master's in EE/CE/Optical

Tools

V4L2

MIPI CSI-2

GMSL

I2C

Job description

Bedrock Robotics Inc is seeking a senior camera pipeline and image quality engineer to own the full camera stack—from embedded drivers and system interfaces through ISP tuning and ML/teleoperation readiness.

The ideal candidate will have 8+ years in ISP tuning and embedded camera systems, strong C/C++/Python skills, and experience with V4L2, MIPI CSI-2, GMSL, and ROS2. This role focuses on robust image quality across daylight to night conditions on rugged construction platforms.