Senior 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: 97 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k

This role $201k

$133k $247k

below market most similar roles pay here above market

This role pays more than 59% of similar roles. Most pay $154,768–$235,750 — the blue band above. At the midpoint, this role pays about $201k versus about $195k 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 113 open roles on FindRole.

Listed pay typically runs $208,450–$282,050 across 112 roles with salary data.

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At a glance

TL;DR · Senior AI Engineer

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The Senior AI Engineer joins a new team to build foundational platform software for Physical AI systems across robotics, industrial automation, and smart homes. You will design and implement SDKs, frameworks, and reference applications that enable AI agents to interact with physical devices and orchestrate complex workflows across cloud and edge environments. Key responsibilities include building PyTorch-ecosystem inference runtimes, developing evaluation harnesses for agent-to-device interactions, and maintaining a fleet of development hardware like single-board computers and robot platforms. Required skills include professional experience in distributed systems using Python and C++, Rust, or Go, along with expertise in LLM tool use, messaging, RPC, and concurrency. You will solve the technical challenge of connecting AI models to heterogeneous hardware while ensuring security, observability, and reliable performance in real-world scenarios.

What does a AI Engineer earn?

Median $211200 from 139 postings across 39 companies.

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Skills

Python C++ Rust Go PyTorch LLM vLLM ONNX Runtime ExecuTorch ROS 2 Linux CI/CD Distributed Systems Edge Computing RPC IoT Protocols Model Context Protocol NPU Toolchains

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 using PyTorch and agent frameworks.
Develop evaluation harnesses to measure 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 platform security and operational posture including identity, authorization, and observability.
Write documentation, samples, and learning materials for external developers and the open-source community.
Collaborate with architects and product managers on requirements, API design, and release quality.

What we're looking for

4+ years of professional software engineering experience building distributed systems.
Strong Python skills and working proficiency in at least one of C++, Rust, or Go.
Experience building and shipping AI-powered applications, including LLM tool use or agent frameworks.
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.
Proficiency with Linux, embedded single-board computers, containers, and CI/CD workflows.
Degree or equivalent experience in Computer Science, Electrical Engineering, Robotics, or a related field.
Experience with robotics, IoT protocols, or on-device inference tools like ExecuTorch or ONNX Runtime (preferred).