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Lead Facilities Senior Supervisor
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Vertical Market Manager - National
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Mechanical Design Engineer I
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The Staff Mechanical Engineer is responsible for driving the design of Kearfott GND products to meet internal and customer technical requirements. The Staff Mechanical Engineer will…

ARM

Principal Software Engineer, AI Compute Infrastructure

Seattle, WA, United States

$262,700 USD / year

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Job details

Pay: $262,700 USD / year
Apply by: Nov 25, 2026
Experience: 12+ years of experience building or operating cloud, compute, HPC, or distributed infrastructure in a production environment.
Posting language: English
Posted: Oct 24, 2026

Original job description

-Job Description---- As a Principal Engineer on the AI Compute Infra team, you will design, build, and operate large-scale infrastructure for AI training, fine-tuning, evaluation, and inference. You will guide work across Kubernetes clusters, accelerator enablement, workload scheduling, high-performance networking, storage, and capacity management, partnering with AI researchers and engineers to improve reliability, performance, scalability, and developer productivity.

Responsibilities:

Build and operate Kubernetes clusters while improving workload scheduling, topology-aware placement, capacity use, and recovery.
Enable new CPU and GPU systems by integrating and validating drivers, networking, storage, monitoring, and health checks.
Investigate performance and reliability issues across applications, cloud infrastructure, clusters, and hardware, then turn findings into lasting improvements.
Partner with AI teams to understand their workloads and automate cluster provisioning, upgrades, monitoring, and maintenance around their needs.

Necessary Skills and Experience:

12+ years of experience building or operating cloud, compute, HPC, or distributed infrastructure in a production environment.
Programming experience in Go, Python, or another systems language, with an interest in developing reliable infrastructure software.
Practical knowledge of Kubernetes, containers, Linux, networking, and storage.
Experience supporting GPU, accelerator, or distributed machine-learning workloads.
An ability to troubleshoot complex systems and communicate clearly with engineers from different technical backgrounds.

"Preferred" Skills and Experience:

Familiarity with Kubernetes scheduling, operators, quotas, or resource management.
Experience with NVIDIA technologies such as CUDA, NVLink, NVSwitch, NCCL, EFA, or DCGM.
Knowledge of AWS EKS, Terraform, Argo CD, Helm, Prometheus, or Grafana.
Familiarity with frameworks such as PyTorch, Ray, vLLM, SGLang, or TensorRT-LLM, or experience qualifying accelerators and tuning distributed workloads.

In Return:

You will join a driven group committed to developing world-class AI compute infrastructure. We provide a cooperative setting where your ideas can come to life. Your efforts will directly impact the success of our AI projects, guaranteeing smooth operations and outstanding results. Join us and help build the future of AI compute infrastructure!

Additional Information

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

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Salary Range:$262,700-$355,400 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 beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We lo To view the full job description, <a href="https://www.aplitrak.com/?adid=YmJnZW5lcmljLjA5MjEwLjg3NjlAYXJtY29tcC5hcGxpdHJhay5jb20">click here</>

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