Camera ISP Software Engineer, Consumer Products

OpenAI•San Francisco, CA

15h•Hybrid

About The Position

About the Team The Consumer Products team at OpenAI builds and ships end-to-end hardware and software experiences that bring frontier AI into the physical world. We work across industrial design, hardware engineering, embedded systems, and AI research to create category-defining consumer devices that feel intuitive, reliable, and deeply integrated with OpenAI’s models. Within this organization, the Camera team is responsible for delivering robust, production-ready imaging systems that operate under real-world constraints such as motion, power, latency, and manufacturing variation. Our work spans early silicon and board bring-up through mass production, and directly supports both user-facing experiences and on-device perception for AI-driven features. We operate as a small, highly technical team with deep ownership, close cross-functional collaboration, and a strong bias toward shipping high-quality products rather than incremental demos. About the Role As a Camera ISP Software Engineer, you will own end-to-end ISP bring-up and tuning across prototype and production hardware. You’ll work across software tuning and hardware-accelerated pipelines to deliver stable, high-quality imaging under real-world constraints such as motion, power, and manufacturing variation. This role is ideal for engineers who thrive in ambiguous early-stage environments, enjoy deep technical ownership, and take pride in shipping production-grade imaging systems. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.

Requirements

Deep experience shipping ISP tuning for embedded or mobile camera products, from bring-up through production.
Strong fundamentals across 3A (AE/AWB/AF), noise modeling, sharpening and detail trade-offs, tone mapping, and color pipelines.
Proven ability to run data-driven tuning loops, including repeatable capture, rigorous evaluation, and disciplined versioning of tuning artifacts.
Hands-on experience debugging end-to-end camera pipelines on real hardware, including RAW capture, processed outputs, and hardware-accelerated paths.
Ability to collaborate cross-functionally and translate system-level constraints (power, latency, motion, reliability) into concrete tuning decisions and validation plans.

Nice To Haves

Experience with common mobile or embedded SoC camera stacks and vendor frameworks.
Experience tuning imaging pipelines explicitly for downstream machine-learning consumers, with iteration driven by model feedback.
Experience designing motion-aware temporal imaging strategies that remain stable under rapid device or scene motion.

Responsibilities

Own end-to-end ISP tuning and bring-up, from early prototypes through production hardware.
Tune core 3A and image-quality blocks including AE, AWB, AF, noise reduction (spatial and temporal), sharpening, tone mapping, color correction, HDR/WDR, flicker mitigation, lens shading, defect pixel correction, and related ISP stages.
Build repeatable capture and evaluation workflows, combining controlled lab sweeps with real-world validation.
Validate robustness across sensor, module, and manufacturing variation with clear, defensible success criteria.
Deliver production-grade tuning artifacts, including versioned tuning packs, parameter manifests, change logs, and curated RAW and processed datasets with supporting documentation.
Partner closely with camera firmware, systems, and hardware teams to debug pipelines, configure sensors, and resolve board-level and silicon-level issues as designs evolve.