Staff Software Engineer, AI Inference Cloud

Arm Holdings

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$209,100–$282,900 / yr
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $226k
This role $246k
$172k most similar roles pay here $295k

This role pays more than 69% of similar roles. Most pay $197,750–$254,750 — the shaded band above. At the midpoint, this role pays about $246k versus about $226k 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 48 open roles on FindRole.

Listed pay typically runs $209,100–$282,900 across 47 roles with salary data.

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At a glance

TL;DR · Staff Software Engineer, AI Inference Cloud

As a Staff Software Engineer, AI Inference Cloud, you will join the AI Inference Cloud team to shape technical direction and develop highly available, scalable services for running AI inference workloads. You will define architecture and build Kubernetes controllers and platform capabilities to support workload deployment, scheduling, recovery, scaling, and lifecycle management. Your daily work involves establishing production practices for health validation, observability, and service objectives while resolving complex issues across networking and compute infrastructure. The role requires deep experience with Kubernetes, distributed systems, and programming in Go, C++, Rust, or Python. You will also engage with technologies such as PyTorch, Ray, vLLM, SGLang, and TensorRT-LLM to optimize model serving and accelerator-backed workloads. This position focuses on solving the technical challenges of infrastructure for large-scale AI inference and improving resource efficiency across the platform.

What does a Software Engineer earn in Washington?

Median $202800 from 318 postings across 31 companies.

See salary data

What you'll do

  • Define and build the architecture for cloud-based AI inference services.
  • Develop Kubernetes controllers to manage workload deployment, scheduling, scaling, and lifecycle management.
  • Establish production practices for health validation, progressive rollouts, and service observability.
  • Improve platform reliability, scalability, performance, and resource efficiency.
  • Resolve complex issues across services, networking, and compute infrastructure to create durable improvements.
  • Lead design and build reviews while mentoring engineers and driving technical alignment.
  • Partner with AI compute and inference teams to enhance the performance of Arm's AI platform.

What we're looking for

  • 5+ years of experience building distributed systems, cloud platforms, or production infrastructure.
  • Deep production experience with Kubernetes including controllers, operators, scheduling, and workload lifecycle management.
  • Strong software engineering skills in Go, C++, Rust, Python, or similar languages.
  • Experience with reliable services, APIs, concurrency, observability, deployment safety, capacity planning, and incident response.
  • A track record of leading complex technical initiatives while remaining hands-on in architecture, implementation, and mentoring.
  • Ability to troubleshoot complex systems and communicate clearly across different technical backgrounds.
  • Experience with AI infrastructure, model serving, or accelerator-backed workloads (preferred).
  • Familiarity with frameworks like PyTorch, Ray, vLLM, SGLang, or TensorRT-LLM (preferred).

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