The Consumer Products team at OpenAI is looking to build and ship end-to-end hardware and software experiences that bring frontier AI into the physical world, specifically in the area of camera systems for consumer devices.
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.
- 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.
- Run data-driven tuning loops, including repeatable capture, rigorous evaluation, and disciplined versioning of tuning artifacts.
Other
- 4-year degree in a relevant field (e.g. Computer Science, Electrical Engineering)
- Ability to collaborate cross-functionally and translate system-level constraints (power, latency, motion, reliability) into concrete tuning decisions and validation plans.
- Relocation assistance to new employees
- Hybrid work model of four days in the office per week
- Background checks for applicants will be administered in accordance with applicable law
