Staff AI Engineer

Arm Holdings

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Seattle, WA
Salary
$170,900–$231,200 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k
This role $201k
$151k $280k
below market most similar roles pay here above market

This role pays less than 59% of similar roles. Most pay $184,743–$246,500 — the blue band above. At the midpoint, this role pays about $201k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Arm Holdings

Arm Holdings plc is a leading British semiconductor and software design firm, established in 1990 and recognized for developing energy-efficient processor architectures that power nearly all smartphones and a vast range of IoT and computing devices.

Arm Holdings currently has 111 open roles on FindRole.

Listed pay typically runs $207,800–$281,200 across 111 roles with salary data.

Most-posted roles

View all roles at Arm Holdings

At a glance

TL;DR · Staff AI Engineer

The Staff AI Engineer joins a new team to build foundational platform software for Physical AI systems. This role involves designing and implementing SDKs, frameworks, and reference applications that enable AI agents to interact with physical devices across cloud and edge environments. You will integrate modern AI models, inference runtimes, and agent frameworks while developing evaluation harnesses to measure reliability and latency. Key responsibilities include maintaining a fleet of development hardware like single-board computers and robot platforms, and contributing to platform security and observability. Required skills include professional software engineering in distributed systems using Python and proficiency in C++, Rust, or Go. You must have experience with PyTorch, LLM tool use, and deploying ML models for inference on servers or edge devices.

What does a AI Engineer earn?

Median $211200 from 142 postings across 39 companies.

See salary data

What you'll do

  • Design and implement features for SDKs and reference services on both device and agent sides.
  • Build reference applications and demos connecting agents to real devices across edge and cloud environments.
  • Develop evaluation harnesses to measure the reliability, latency, and correctness of agent-to-device interactions.
  • Bring up and maintain a fleet of development hardware including single-board computers, cameras, and robot platforms.
  • Contribute to the platform's security and operational posture, including identity, authorization, and observability.
  • Write documentation, samples, and learning materials to support the external open-source community.
  • Integrate modern AI models, inference runtimes, and agent frameworks to create end-to-end applications.

What we're looking for

  • Degree or equivalent experience in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Professional software engineering experience building distributed systems with strong Python and proficiency in C++, Rust, or Go.
  • Experience building and shipping AI-powered applications, including LLM tool use or agent frameworks, integrated with real systems.
  • Practical experience deploying ML models for inference on servers or edge devices using PyTorch or a comparable framework.
  • Solid grounding in messaging, RPC, concurrency, failure handling, and testing of networked software.
  • Comfort with Linux, embedded single-board computers, containers, and CI/CD workflows.
  • Experience with publish/subscribe messaging systems or IoT protocols (preferred).
  • Robotics or physical-AI background including ROS 2, robot arms, perception pipelines, or control loops (preferred).

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