Software Engineer, Edge AI

# Software Engineer, Edge AIRivian and Volkswagen Group Technologies Palo Alto, California (Hybrid)
Full-time $116,300 – $159,950 / yearAI tools:

ONNX Runtime

TensorRTTFLitellama.cppExecu Torch Upload  your resume once and Scout applies for you Apply with Scout Share this job:

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This early-career engineer builds native software for vehicle systems, with possible projects in telemetry, large data uploads, embedded voice inference, or connected features. The role includes deploying and optimizing models on vehicle hardware as well as debugging, benchmarking, and testing software on bench hardware and vehicles.
* Permanent* Hybrid
* 2–4 years
* Bachelor's or Master's Degree, or equivalent demonstrated bu### Skills and expertiseC++RustLinuxONNX Runtime

TensorRTTFLitellama.cppExecu

Torch### Key responsibilities
* Build native vehicle services across Linux, Android, and QNX targets.
* Deploy and optimize speech and wake-word models on vehicle NPUs against latency and accuracy targets.
* Instrument, benchmark, and debug software on bench hardware and in vehicles.## How this job compares

Compared with 1,047 open mid-level engineering jobs on October 10, 2026.Pay:
This job pays $116K to $160K a year. The 452 open mid-level engineering jobs that publish US pay start at $138K on average, so this job starts about 16% lower.

Similar open jobs:
We Love AI Jobs lists 1,047 open mid-level engineering jobs at 274 companies.

Remote work:
This job is hybrid. 104 of the 1,047 mid-level engineering jobs (10%) are remote.

AI in this role:
Medium. The role uses AI tools and works with AI systems as a regular part of the job. The role may begin in telemetry or data transfer, but the listed work also includes deploying and optimizing speech and wake-word ML models on vehicle NPUs. AI is a regular part of the team's work, though not every possible project is model-focused.## Full description

About UsRivian 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.

About the Team The Connectivity Edge AI team owns the software in the vehicle that moves and makes sense of vehicle data. Our work covers broadly these areas:
• On-device AI. Running voice detection, speech and other ML models directly on vehicle compute so features keep working when the network does not.
• Vehicle data collection - The upload and retrieval path for large payloads such as camera clips and ADAS recordings, including throughput, reliability, and cost over Wi-Fi and cellular.
• Connected features - Connected features like live camera streaming and mobile video downloads.

Our software ships on Rivian R1 and R2, last-mile delivery vehicles, and Volkswagen Group platforms. Most of what we build has to work across several generations of hardware and more than one operating system.

About the Role This is a hands-on individual contributor role for an engineer early in their career who wants real systems problems. You will write C++/Rust for services that run inside a car, under fixed CPU and memory budgets, latency targets a customer can feel, and no ability to redeploy in an afternoon.

Where you start depends on your strengths and what the team needs at the time. You will work on one of the following areas…