Staff Software Engineer, Imaging Platform

Rivian and Volkswagen Group Technologies•Palo Alto, CA

2d•$186,000 - $232,500

About The Position

Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we’ll map a new way forward. Working together, we’ll create a future that’s more connected, more intelligent, more sustainable for everyone. 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.

Requirements

Preferred Master's Degree in Electronics, Computer Engineering, or Computer Science. Exceptional candidates with a 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, and SerDes drivers is a plus.
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, and kernel/user space driver models.
Good team player with strong written communication and presentation skills.

Nice To Haves

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/Vulkan/OpenCL APIs.
Track record of innovative thinking as evidenced by patents and peer-reviewed publications.

Responsibilities

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, Computer Vision, and deep learning features on Linux, QNX, and 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 and design tradeoffs required to deliver a scalable end-to-end software stack across various compute engines.