Camera Firmware Engineer, Consumer Products

OpenAI • San Francisco, CA

1d • Hybrid

About The Position

The Consumer Products team at OpenAI builds end-to-end hardware and software systems that bring AI into the physical world. We work at the intersection of custom silicon, embedded systems, operating systems, and cloud services to deliver reliable, production-ready devices at scale. Within Consumer Products, the camera stack is a critical sensing component. The team partners closely with electrical engineering, silicon vendors, systems, and higher-level perception and product teams to bring up new hardware, stabilize capture pipelines, and ensure camera systems are robust, debuggable, and ready for real-world deployment. This work spans early prototypes through production, with a strong emphasis on correctness, repeatability, and long-term reliability. As a Camera Firmware Engineer, you will own low-level camera enablement on custom hardware—from early board bring-up through stable production capture. You will develop and maintain the firmware and software that makes camera sensors reliable, controllable, and debuggable, forming the foundation for higher-level camera pipelines and product features. This role is highly hands-on and systems-oriented. You will work close to the hardware, diagnose real-world timing and integration issues, and build tooling that accelerates iteration across the entire camera stack. This role is based in San Francisco, CA. We follow a hybrid work model with four days per week in the office and offer relocation assistance to new employees.

Requirements

• Deep experience shipping embedded camera systems, including sensor bring-up, driver development, and board-level debugging.
• Strong C/C++ experience with embedded or Linux-based systems; comfortable debugging across kernel and userspace boundaries.
• Hands-on understanding of common camera hardware interfaces (for example, MIPI CSI and sensor control buses) and the practical realities of bring-up, including power, reset, clocking, and sequencing.
• Proven track record of building reliable capture paths and effective debug workflows that accelerate iteration through reproducible failures and well-scoped fixes.

Nice To Haves

• Experience with mobile or embedded SoC camera stacks and vendor frameworks (for example, Qualcomm, Samsung, or MediaTek).
• Experience integrating and debugging hardware acceleration blocks adjacent to camera pipelines, such as video encode and decode paths.
• Familiarity building higher-level capture pipelines (for example, GStreamer) on top of low-level camera enablement.

Responsibilities

• Bring up new camera sensors and modules on prototype and production boards, including link stability, sensor control, and correct power, reset, and clock sequencing.
• Develop and maintain low-level camera software, including sensor drivers, board configuration, and camera subsystem integration across hardware revisions.
• Enable and validate core capture paths for development and production, including RAW capture for debugging, still capture, and hardware-accelerated video encode and streaming with stable timestamps and long-duration reliability.
• Stand up camera control and repeatability features, including basic 3A loop exposure, manual overrides and locks, and deterministic presets to support validation and debugging.
• Build and maintain camera bring-up tooling, such as capture scripts, automated sweeps, manifests, and debugging utilities that make issues reproducible and easy to triage.
• Partner closely with electrical engineering, camera pipeline owners, and systems teams to define interfaces, unblock integration, and keep the camera stack stable as the device evolves.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees