Electric-Vehicle
Location: Palo Alto, CA
About the job
At Rivian and Volkswagen Group Technologies, we’re re-imagining what mobility can be. The Intelligent Camera, Imaging and Vision team takes the capability of best-in class camera sensors and delivers rich features for great user experiences and services. In this role, you will be a part of software development and testing for cameras, vision algorithms, performance software on state-of-the art compute platforms, and validation to the actual product.
Develop optimized image processing and multi-camera algorithms on automotive platforms and GPUs using OpenCL/OpenGL APIs.
Identify, analyze, architect, develop and debug system software for Camera/Imaging and Computer Vision and deep learning features on Linux, QNX, Android systems.
Deliver quality code, debug complex problems, prioritize and get things done with a high level of efficiency and urgency.
Collaborate with cross-functional teams across multiple engineering and algorithms teams, making the architectural, design tradeoffs required to deliver scalable end to end software stack across various compute engines.
Preferred Master’s Degree in Electronics, Computer Engineering or Computer Science. Exceptional candidates with Bachelor’s degree in Computer Science will also be considered.
Experience with optimizing code across various compute engines and heterogeneous computing ( CPU / GPU / DSP / NPU etc).
Experience with AI SDKs and building systems on edge devices.
Hands on experience with C++/C on *nix and/or RTOS based systems.
Experience with best in class Engineering practices, technical documentation, design/architecting, and code reviews.
Experience with one or more HAL architectures (preferably Camera HAL).
Familiarity with HW bring up, MIPI / CSI drivers, V4L2 drivers, SerDes drivers would be a positive.
Good understanding and hands on experience with interface protocol stacks (SPI,I2C, Ethernet).
Deep understanding of the camera processing pipeline from a systems level, including ISP, sensors, SerDes, power management, etc
Familiar with RTOS kernel (Threadx or QNX), IPC, kernel and user space driver model.
Good team player with good written communication and presentation skills.
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/Vulkan/OpenCL APIs.
Deep understanding of the camera processing pipeline from a systems level, including ISP, sensors, SerDes, power management, etc.
Track record of innovative thinking as evidenced by patents and peer-reviewed publications.
Electric-Vehicle
More Information
- Term Entry
- Company Rivian