9 months ago
Base Salary
$293k - $325k/yr
Responsibilities
- Bring up camera sensors and modules on prototype and production boards, including link stability, sensor control, and power, reset, and clock sequencing.
- Develop and maintain sensor drivers, board configuration, and camera subsystem integration across hardware revisions.
- Enable and validate RAW, still-capture, hardware-accelerated video encode, and streaming paths with stable timestamps and long-duration reliability.
- Implement camera control and repeatability features, including exposure loops, manual overrides and locks, and deterministic presets.
- Build and maintain capture scripts, automated sweeps, manifests, and debugging utilities for reproducible issue triage.
- Partner with electrical engineering, camera pipeline, and systems teams to define interfaces and maintain camera-stack stability.
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 and the ability to debug across kernel and userspace boundaries.
- Hands-on understanding of camera hardware interfaces such as MIPI CSI and sensor control buses, including power, reset, clocking, and sequencing.
- Proven ability to build reliable capture paths and reproducible debugging workflows.
- Experience with mobile or embedded SoC camera stacks and vendor frameworks such as Qualcomm, Samsung, or MediaTek is preferred.
- Experience integrating and debugging hardware acceleration blocks adjacent to camera pipelines, including video encode and decode paths, is preferred.
- Familiarity with higher-level capture pipelines such as GStreamer is preferred.
Benefits
- Hybrid work model with four days per week in the San Francisco office.
- Relocation assistance is offered to new employees.
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.