Staff AI Engineer

What you'll do

• Develop SDK and reference-service features, applications, and demos connecting AI agents to physical devices.
• Build evaluation harnesses and maintain development hardware for testing and demonstrations.
• Support platform security, documentation, open-source community work, and collaboration on APIs and releases.

What they ask for

• Professional software engineering experience building distributed systems; strong Python and working proficiency in C++, Rust, or Go.
• Experience shipping AI-powered applications, including LLM tool use or agent frameworks, integrated with real systems.
• Practical experience deploying ML inference on servers or edge devices using PyTorch or a comparable framework.
• Knowledge of networked software, Linux, embedded single-board computers, containers, and CI/CD; degree or equivalent experience in a related field.

Nice to have

• Experience with messaging systems or IoT protocols, agent-tool interfaces, robotics, or physical AI.
• Experience with on-device inference, AI-agent evaluations, open-source contributions, or connected-device security.

Pay

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

Tools

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

AI focus

Develop agentic Physical AI applications that connect AI models and agents to real devices; deploy inference across cloud and edge, and evaluate agent-to-device reliability, latency, and correctness.