Camera Systems Software Engineer

About the Company

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society.

Responsibilities

• Own camera systems end to end, including vendor requirements, sensor/module selection, hardware bring-up, software integration, debugging, calibration, validation, and long-term maintainability.
• Work directly with camera vendors and hardware partners to define requirements for custom cameras.
• Develop and maintain low-level camera software, including sensor configuration, camera drivers, device-tree changes, and camera control interfaces.
• Debug camera issues across the hardware/software boundary, including MIPI CSI-2, GMSL, I2C, and ISP behavior.
• Design reliable, low-latency camera pipelines for real-time robotic systems.
• Build clean high-level APIs that expose camera frames, timestamps, and metadata to perception and autonomy systems.
• Collaborate with perception, robotics, embedded systems, and electrical engineering teams.

Requirements

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Robotics, Computer Science, or a related field.
• 5+ years of hands-on experience with embedded camera systems and sensor bring-up.
• Strong proficiency in C/C++ for Linux or performance-sensitive systems.
• Experience with camera interfaces such as MIPI CSI-2, I2C, GMSL, or FPD-Link.
• Experience developing or modifying Linux camera drivers, device trees, or V4L2 drivers.
• Strong understanding of vision requirements for real-time systems including synchronization and latency.
• Working knowledge of image sensors and imaging pipelines (Bayer, RAW, YUV/RGB, ISP).
• Proficient with debugging tools like kernel logs, tracing, profiling, and logic analyzers.