Senior Camera Pipeline & Image Quality Engineer - Autonomy

Doist; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Bedrock is seeking a senior camera pipeline and image quality engineer to own end-to-end ISP tuning for rugged construction machinery. You will work on embedded drivers, data interfaces, and integration with autonomy software stacks to deliver high-quality imagery across lighting conditions.

The role focuses on optimizing camera pipelines for ML perception models and remote teleoperation, with emphasis on real-world testing and field deployment.

Qualifications

• Bachelor's or Master's in Electrical/Optical Engineering or related field.
• 8+ years in embedded camera systems, ISP tuning, image quality engineering.
• Experience diagnosing and improving camera image quality on fielded hardware.

Responsibilities

• Own the camera pipeline end to end: diagnose image quality failures and tune ISP parameters across lighting.
• Develop and integrate embedded camera drivers; expose runtime ISP control to autonomy stack.
• Characterize ISP behavior with test scenes and quantitative metrics.
• Tune exposure, white balance, HDR ratios, tone mapping, and noise reduction for ML and teleoperation.
• Define image quality testing protocols and ensure compatibility with training data.

Skills

ISP tuning

Embedded camera systems

Image quality engineering

C/C++ and Python

Camera drivers (V4L2, MIPI CSI-2)

ROS2 / autonomy middleware

Data analysis & statistics

Education

Bachelor's or Master's in Electrical/Optical Engineering or related field

Tools

V4L2

MIPI CSI-2

GMSL

Embedded compute platforms (NVIDIA Jetson/Orin)

Python/C/C++ tooling

Job description

Bedrock is seeking a senior camera pipeline and image quality engineer to own end-to-end ISP tuning for rugged construction machinery. You will work on embedded drivers, data interfaces, and integration with autonomy software stacks to deliver high-quality imagery across lighting conditions.

The role focuses on optimizing camera pipelines for ML perception models and remote teleoperation, with emphasis on real-world testing and field deployment.