Camera Software Engineer (Embedded)

TL;DR

Camera Software Engineer (Embedded): Developing low-level camera enablement and firmware for custom hardware to bring AI into the physical world with an accent on sensor bring-up, driver development, and stable capture pipelines. Focus on diagnosing real-world timing issues, optimizing MIPI CSI interfaces, and building robust debug tooling for production-ready devices.

Location: Based in San Francisco, CA (Hybrid: 4 days/week in office). Relocation assistance available.

Salary: $293K – $325K + Equity

Company

An AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Bring up new camera sensors and modules on prototype and production boards, focusing on link stability and power sequencing.
• Develop and maintain sensor drivers, board configurations, and camera subsystem integration across hardware revisions.
• Enable and validate core capture paths, including RAW capture for debugging and hardware-accelerated video encoding.
• Implement camera control features such as 3A loop exposure, manual overrides, and deterministic presets.
• Build camera bring-up tooling, capture scripts, and debugging utilities to accelerate iteration and triage.
• Collaborate with electrical engineering and systems teams to define interfaces and maintain stack stability.

Requirements

• Deep experience shipping embedded camera systems, including sensor bring-up and driver development.
• Strong C/C++ experience with embedded or Linux-based systems, comfortable debugging kernel and userspace boundaries.
• Hands-on understanding of MIPI CSI and sensor control buses.
• Proven track record of building reliable capture paths and effective debug workflows.
• Must be based in or able to relocate to San Francisco, CA

Nice to have

• Experience with mobile or embedded SoC camera stacks and vendor frameworks.
• Experience integrating and debugging hardware acceleration blocks for video encode and decode paths.
• Familiarity with building higher-level capture pipelines using GStreamer.

Culture & Benefits

• Hybrid work model requiring four days per week in the office.
• Relocation assistance provided for new employees.
• Competitive salary and equity packages.
• Opportunity to work on cutting-edge hardware bringing AI into the physical world.