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ARM

Staff Software Engineer, AI Inference Cloud

Seattle, WA, United States

$209,100 to $282,900 USD / year

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Job details

Pay: $209,100 to $282,900 USD / year
Apply by: Nov 22, 2026
Experience: 8+ years of experience, or equivalent proven impact, building distributed systems, cloud platforms, or production infrastructure.
Posting language: English
Posted: Oct 22, 2026

Original job description

As an engineer on Arm's AI Inference Cloud team, you will shape the technical direction and develop highly available, scalable services for running AI inference workloads. You will guide architecture and actively contribute to development across Kubernetes orchestration, workload management, service delivery, and observability. Partnering with AI compute, Inference Runtime, and product teams to enhance the performance and usability of Arm's AI platform.

Responsibilities:

Define and build the architecture for cloud-based AI inference services.
Develop Kubernetes controllers and platform capabilities supporting workload deployment, scheduling, recovery, scaling, upgrades, and lifecycle management.
Establish production practices for health validation, progressive rollout, rollback, observability, and service objectives. Improve platform reliability, scalability, performance, and resource efficiency.
Lead production readiness reviews and resolve complex issues across services, Kubernetes, networking, and compute infrastructure. Turn incidents and operational bottlenecks into durable platform improvements.
Lead design and build reviews, mentor engineers, and drive technical alignment across teams.

Necessary Skills and Experience:

8+ years of experience, or equivalent proven impact, building distributed systems, cloud platforms, or production infrastructure.
Deep production experience with Kubernetes, including controllers, operators, scheduling, resource management, networking, and workload lifecycle management.
Strong software and production engineering skills, including hands-on programming in Go, C++, Rust, Python, or a similar language, and 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, including architecture, implementation, debugging, mentoring, and influencing technical direction across teams.
Ability to troubleshoot complex systems and communicate clearly with engineers from different technical backgrounds.

Preferred Skills and Experience:

Experience with AI infrastructure, model serving, or accelerator-backed workloads.
Familiarity with frameworks such as PyTorch, Ray, vLLM, SGLang, or TensorRT-LLM, or experience qualifying accelerators and tuning distributed workloads.
Knowledge of inference performance and resource-efficiency considerations.

In Return:

You will be part of our AI Platforms team - A driven and diverse group passionate about developing foundational production capabilities for AI inference at Arm. We provide a collaborative setting where your ideas can come to life quickly. Your work will directly impact the success of our AI projects, shape Arm's AI inference capabilities, defining and operating production inference workloads. This is an outstanding opportunity to work with world-class teams and contribute to groundbreaking advances in AI technology. Join us in building the next generation of AI inference infrastructure!

(Recruiter to Complete)

Additional Information:

Please note that a relocation package (including visa sponsorship support) is available for this role, for candidates who require it.

Salary Range:$209,100-$282,900 per year We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.

Our 10x Mindset At Arm, we believe progress happens when people are empowered to think bigger and push be To view the full job description, <a href="https://www.aplitrak.com/?adid=YmJnZW5lcmljLjE4MDg2Ljg3NjlAYXJtY29tcC5hcGxpdHJhay5jb20">click here</>

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