Senior Camera Pipeline and Image Quality Engineer

Key Qualifications

• Hands-on experience tuning ISP pipelines on real hardware (auto exposure, auto white balance, tone mapping, demosaicing, noise reduction, and HDR fusion)
• Deep familiarity with AE algorithm internals
• Hands-on experience writing or integrating embedded camera drivers (V4L2, MIPI CSI-2, GMSL, I2C)
• Familiarity with camera data pipelines on embedded platforms
• Understanding of how ISP tuning choices affect downstream ML/perception model performance
• Strong data analysis skills, including experience working with large datasets, building quantitative models, and using statistical methods to characterize real-world system behavior
• 8+ years of relevant industry experience in ISP tuning, embedded camera systems, image quality engineering, or closely related roles

Responsibilities

• Own the camera pipeline end to end
• Diagnose image quality failures, tune ISP parameters, and validate improvements across the full operating radiometric range
• Characterize existing ISP pipeline behavior from first principles
• Tune ISP and imager settings 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) and track performance across hardware and ISP firmware generations
• Manage relationships with ISP, camera module, and embedded compute vendors

Education And Experience

• 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
• Embedded systems experience: comfort at the hardware/software boundary, driver-level debugging, and working with real-time constraints on embedded compute platforms
• Comfortable working in C/C++ and/or Python for driver-level work, tooling, and test automation