Staff AI Engineer — Edge & Physical AI Systems

Arm Limited; Seattle (WA); In loco; USD 171.000 - 231.000; Tempo pieno

Descrizione del lavoro

Arm is building the foundational platform software for Physical AI systems. Staff AI Engineer will design SDKs, frameworks and reference apps enabling AI agents to interact with devices across cloud and edge, using PyTorch ecosystems and popular agent frameworks.

You will work hands-on with real hardware, develop evaluation methodologies, and collaborate with engineers, product teams and partners to shape the future of Physical AI on Arm in Seattle.

Competenze

• Professional software engineering experience building distributed systems.
• Strong Python and proficiency in C++, Rust or Go.

Mansioni

• Design and implement features in SDKs and reference services on device and agent sides.
• Build demos connecting agents to real devices across edge and cloud using PyTorch runtimes.
• Develop evaluation harnesses measuring reliability, latency and correctness of agent-to-device interactions.
• Bring up and maintain development hardware including SBCs, cameras, sensors, robot platforms and edge servers.
• Contribute to security and operational posture: identity, authorization, observability and safe failure behavior.
• Write documentation, samples and learning material for external developers and support open-source community.
• Collaborate with architects, product managers and partner engineers on requirements and API design.

Conoscenze

Python

C++

Rust

Go

Distributed systems

AI/ML tooling

English communication

LLM tool use

Agent frameworks

Formazione

Degree in CS/EE/Robotics or related

Strumenti

PyTorch ecosystem

Agent frameworks

Descrizione del lavoro

Arm is building the foundational platform software for Physical AI systems. Staff AI Engineer will design SDKs, frameworks and reference apps enabling AI agents to interact with devices across cloud and edge, using PyTorch ecosystems and popular agent frameworks.

You will work hands-on with real hardware, develop evaluation methodologies, and collaborate with engineers, product teams and partners to shape the future of Physical AI on Arm in Seattle.