Camera Systems Software Engineer at Skild AI - ScoutJobs - The AI-curated global job board
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Posted 5 hours ago

Camera Systems Software Engineer

Skild AICamera Systems Software Engineer

Requirements

Bachelor's or Master's in Engineering or CS, 5+ years embedded camera experience, Proficiency in C/C++, Experience with MIPI CSI-2, I2C, or GMSL, Linux driver development experience

Skills

C#LinuxEmbedded Systems

About the role

Responsibilities

  • Own camera systems end to end, including vendor requirements, sensor selection, hardware bring-up, and software integration
  • Work with camera vendors to define requirements for custom cameras, optics, frame rates, and synchronization
  • Develop and maintain low-level camera software, including sensor configuration, drivers, and device-tree changes
  • Debug camera issues across the hardware/software boundary, including MIPI CSI-2, GMSL, and I2C control
  • Design reliable, low-latency camera pipelines for real-time robotic systems
  • Build high-level APIs that expose camera frames, timestamps, and metadata to perception and autonomy systems
  • Collaborate with perception, robotics, and electrical engineering teams

Requirements

  • Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Robotics, or Computer Science
  • 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 including timestamping, synchronization, and latency measurement
  • Working knowledge of image sensors and imaging pipelines (Bayer, RAW, YUV/RGB, ISP behavior)
  • Proficiency with debugging tools like kernel logs, tracing, oscilloscopes, or logic analyzers

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.

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Camera Systems Software Engineer

Skild AI · San Mateo

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