Senior AI Engineer

What you'll do

• Develop SDK and service features, reference applications, and demos integrating agents with physical devices.
• Create evaluation harnesses for agent-to-device reliability, latency, and correctness; maintain development hardware.
• Contribute to platform security and operations, documentation, open-source support, and API and release design.

What they ask for

• Distributed-systems software engineering experience; strong Python and working proficiency in C++, Rust, or Go.
• Experience shipping AI-powered applications using LLM tool use or agent frameworks and integrating them with real systems.
• Practical ML inference deployment experience with PyTorch or a comparable framework; grounding in networked software, Linux, embedded computers, containers, and CI/CD.
• Degree or equivalent experience in Computer Science, Electrical Engineering, Robotics, or a related field; clear communication skills.

Nice to have

• Experience with publish/subscribe messaging or IoT protocols, Model Context Protocol, robotics, or physical AI.
• Experience with on-device inference, AI-agent evaluations, open-source community support, or connected-device security.

Pay

$170,900-$231,200 per year (base salary)

Tools

Python, C++, Rust, Go, PyTorch, Linux, ROS 2, ExecuTorch

AI focus

Develop Physical AI tools and applications that connect AI agents and models to real devices; integrate inference runtimes and agent frameworks, and evaluate agent-to-device reliability, latency, and correctness.