Demo

Senior Software Engineer

Blue Chip Talent
Palo Alto, CA Contractor
POSTED ON 3/26/2025
AVAILABLE BEFORE 4/23/2025

Blue Chip Talent is looking for a Senior Camera Software Engineer with strong hands-on Embedded C/C , Linux, RTOS, Camera/Imaging, and Computer Vision features on Linux, and QNX systems

Responsibilities

  • Identify, analyze, design, develop, and debug system software for Camera/Imaging and Computer Vision features on Linux and QNX systems.
  • Implement camera calibration and camera diagnostics features on embedded automotive platforms (e.g. Qualcomm)
  • Implement fully developed system software designs on Linux platforms
  • Deliver quality code, debug complex problems, prioritize, and get things done with a high level of efficiency and urgency.


Qualifications

  • Hands-on experience with C/C on Linux and/or RTOS-based systems.
  • Experience with one or more HAL architectures (preferably Camera HAL)
  • Familiarity with HW bring-up, MIPI / CSI drivers, and SerDes drivers would be positive.
  • Good understanding and hands-on experience with interface protocol stacks (SPI, I2C).
  • Experience with optimizing code across various computing engines and heterogeneous computing ( CPU / GPU / Neural Processors / etc.)
  • Deep understanding of the camera processing pipeline from a systems level, including ISP, sensors, SerDes, power management, etc.
  • Experience with camera calibration and a good understanding of related algorithms.
  • Master’s Degree in Electronics, Computer Engineering, or Computer Science.
  • Exceptional candidates with a Bachelor’s degree in Computer Science and relevant work experience will also be considered.


Preferred Qualifications:

  • PhD in EE/Computer Science with a relevant emphasis in image processing, graphics, and/or Artificial Intelligence
  • Experience with automotive surround view systems/use cases, along with their optimized implementation on GPUs using OpenGL/OpenCL APIs.
  • Background in the automotive industry or experience with safety-critical systems.
  • Experience with AI SDKs and building systems on edge devices
  • Track record of innovative thinking as evidenced by patents and peer-reviewed Publications.

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