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
• SkillsQualifications 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 / NeuralProcessors / etc) Deep understanding of the camera processing pipeline from a systems level, including ISP, sensors, SerDes, powermanagement, etc. Experience with camera calibration and good understanding of related algorithms. Master’s Degree in Electronics, Computer Engineering or Computer Science. Exceptional candidates with 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 usingOpenGL/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

• 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
• SkillsQualifications 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 / NeuralProcessors / etc) Deep understanding of the camera processing pipeline from a systems level, including ISP, sensors, SerDes, powermanagement, etc. Experience with camera calibration and good understanding of related algorithms. Master’s Degree in Electronics, Computer Engineering or Computer Science. Exceptional candidates with 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 usingOpenGL/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.