What are the responsibilities and job description for the Embedded Engineer (Automotive) Camera HAL _ Onsite @ Palo Alto, CA position at Blue Chip Talent?
Job Details
Embedded Engineer (Automotive) Camera HAL _ Onsite @ Palo Alto, CA
Responsibilities
? Identify, analyze, design, develop and debug system software for Camera/Imaging and Computer Vision features on Linux and QNXsystems.
? Implement camera calibration and camera diagnostics features on embedded automotive platforms (Eg: Qualcomm)
? Implement fully developed system software designs on Linux platforms
? Identify, analyze, design, develop and debug system software for Camera/Imaging and Computer Vision features on Linux and QNXsystems.
? Implement camera calibration and camera diagnostics features on embedded automotive platforms (Eg: 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, SerDes drivers would be a positive.
? Good understanding and hands on experience with interface protocol stacks (SPI, I2C).
? Experience with optimizing code across various compute 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 good understanding of related algorithms.
? Master s Degree in Electronics, Computer Engineering or Computer Science.
? Bachelor s degree in Computer Science and relevant work experience will also be considered.
Preferred Qualifications: ? PhD in EE/Computer Science with 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.
? Experience with one or more HAL architectures (preferably Camera HAL)
? Familiarity with HW bring up, MIPI / CSI drivers, SerDes drivers would be a positive.
? Good understanding and hands on experience with interface protocol stacks (SPI, I2C).
? Experience with optimizing code across various compute 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 good understanding of related algorithms.
? Master s Degree in Electronics, Computer Engineering or Computer Science.
? Bachelor s degree in Computer Science and relevant work experience will also be considered.
Preferred Qualifications: ? PhD in EE/Computer Science with 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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