Staff AI Engineer
Core
Design and build SDKs, frameworks, and reference applications enabling AI agents to interact with physical devices across cloud and edge environments.
Role type
Staff AI Engineer (Physical AI Platform)
Builds
Open-source foundations, developer tools, and reference implementations for Physical AI on Arm
Domain
Edge computing, distributed systems, robotics, and AI infrastructure
Deliverable
production ML models
Required skills
Python, C++/Rust/Go, distributed systems, AI agent frameworks, PyTorch, Linux, embedded systems, CI/CD
Preferred skills
IoT protocols, Model Context Protocol, ROS 2, on-device inference (ExecuTorch/ONNX), LLM serving (vLLM), security fundamentals
Technologies
PyTorch, PyTorch-ecosystem runtimes, ROS 2, ExecuTorch, ONNX Runtime, vLLM, Linux, containers
Responsibilities
Design and implement features in SDKs and reference services; Build reference applications connecting agents to real devices; Develop evaluation harnesses for agent reliability; Maintain a fleet of development hardware; Contribute to platform security and operational posture; Write documentation and support the open-source community; Collaborate on API design and release quality
Seniority
Staff, hands-on IC with strategic impact
