Senior Computer Vision Engineer - Embedded & Real-Time AI

Rivian and Volkswagen Group Technologies; Palo Alto (CA); On-site; USD 147,000 - 202,000; Full time

Job summary

Rivian and Volkswagen Group Technologies in Palo Alto is seeking a highly skilled Software Engineer to advance our Computer Vision and AI initiatives. You will architect and optimize high‑performance algorithms powering next‑gen intelligent features for embedded systems, with a strong emphasis on C++ and compute-heavy workloads across heterogeneous hardware.

The role focuses on embedded development, real-time CV/AI pipelines across CPU, GPU, and NPU, and collaboration with product, research and

Qualifications

• Proficiency in C++ programming.
• Experience hardware optimization on embedded heterogeneous hardware (CPU, GPU, NPU, DSP).
• Extensive Computer Vision experience; OpenCV knowledge; deep learning inference pipelines.

Responsibilities

• CV & AI Feature Development: design, develop, implement and integrate AI/vision features.
• Performance Optimization: optimize CV/AI pipelines for real-time performance on heterogeneous hardware.
• Pipeline Architecture: create software stacks for CV/AI workflows with low latency and power efficiency.
• Cross-Functional Collaboration: work with product, research and engineering to integrate models into the product.
• Advanced Prototyping: rapidly prototype and iterate on new perception/inference algorithms.

Skills

C++

Embedded systems

Computer Vision

Algorithms

Data structures

Software architecture

Education

Bachelor’s or Master’s Degree in Computer Science or Computer Engineering

Tools

OpenCV

Job description

Rivian and Volkswagen Group Technologies in Palo Alto is seeking a highly skilled Software Engineer to advance our Computer Vision and AI initiatives. You will architect and optimize high‑performance algorithms powering next‑gen intelligent features for embedded systems, with a strong emphasis on C++ and compute-heavy workloads across heterogeneous hardware.

The role focuses on embedded development, real-time CV/AI pipelines across CPU, GPU, and NPU, and collaboration with product, research and