Camera Systems Software Engineer

Robotics company developing autonomous systems with focus on computer vision and camera systems.
$125,000 - $200,000
Embedded
Senior Software Engineer
Hybrid
5+ years of experience
Robotics

Description For Camera Systems Software Engineer

Simbe Robotics is seeking a Camera Systems Software Engineer to join their innovative robotics team. This role focuses on developing and optimizing camera systems for autonomous robots, specifically working with Nvidia Jetson platforms. The position requires expertise in embedded systems, camera drivers, and real-time image processing.

The ideal candidate will be responsible for creating high-performance vision systems, working with MIPI CSI cameras, and implementing sophisticated image processing pipelines. They will collaborate closely with hardware and perception teams to ensure optimal performance of the robotic vision systems.

This is an excellent opportunity for an experienced engineer passionate about robotics and computer vision. The role offers exposure to cutting-edge technology in autonomous systems, working with modern hardware acceleration techniques and AI integration. The company values innovation, transparency, and excellence in their field.

The position offers a competitive salary range of $125,000 to $200,000, depending on experience and location. Working in a hybrid environment in South San Francisco, you'll be part of a team that's pushing the boundaries of robotics technology. The company culture emphasizes being results-driven, empathetic, and innovative, making it an ideal place for professional growth and technical advancement.

Join Simbe Robotics to work on challenging problems in computer vision, embedded systems, and autonomous robotics, while contributing to the next generation of intelligent systems.

Last updated 2 days ago

Responsibilities For Camera Systems Software Engineer

  • Develop and maintain camera drivers and middleware for Nvidia Jetson platforms
  • Integrate and optimize MIPI CSI camera interfaces
  • Implement and optimize camera pipelines using Nvidia Argus APIs
  • Enhance image processing pipeline using hardware acceleration
  • Develop real-time post-processing algorithms
  • Optimize memory and data handling for high-bandwidth video streams
  • Debug and optimize production-grade C++ firmware
  • Work with edge AI processing
  • Collaborate with hardware engineers
  • Ensure reliability through testing and validation frameworks

Requirements For Camera Systems Software Engineer

Linux
Python
  • Extensive experience in developing production-grade C++ software for embedded systems
  • Strong expertise in camera driver development on Nvidia Jetson platforms
  • Hands-on experience with MIPI CSI camera interfaces
  • Deep knowledge of Nvidia Argus libraries
  • Understanding of image signal processing (ISP), exposure control, HDR imaging

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