Sr. Software Engineer - Computer Vision

Rivian and Volkswagen Group Technologies•Palo Alto, CA

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. We are seeking a highly skilled Software Engineer to join our team, focusing exclusively on the advancement of our Computer Vision and AI initiatives. You will be responsible for architecting and optimizing high-performance algorithms that power the next generation of intelligent features. The ideal candidate has deep expertise in C++ and a strong background in optimizing compute-heavy workloads across heterogeneous hardware. This role primarily focuses on embedded systems development for high-performance applications.

Requirements

Proficiency in C++
Demonstrated experience implementing and optimizing code and compute workloads on embedded heterogeneous hardware (CPU, GPU, NPU, DSP).
Extensive hands-on experience with Computer Vision techniques, including libraries like OpenCV, and implementing deep learning inference pipelines.
Strong understanding of algorithms, data structures, and software architecture.
Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or a related field.

Nice To Haves

Experience with imaging and video pipelines (ISP, sensors, RTSP, H.264/H.265) and visual computing/parallel programming frameworks (OpenCL, OpenGL).

Responsibilities

Design, develop, implement and integrate advanced Computer Vision and Artificial Intelligence features, ensuring robustness and scalability.
Analyze and optimize vision and AI pipelines for real-time performance on CPU, GPU, NPU, and other relevant hardware accelerators.
Architect efficient software stacks to manage complex CV/AI workflows with minimal latency and high power efficiency.
Work closely with product, research and engineering teams to integrate AI models and vision-based solutions into the final product.
Rapidly prototype and iterate on new algorithms to solve challenging perception and inference problems.