Staff Software Engineer, AI Compute Infrastructure

Arm Limited; Seattle (WA); Hybrid; USD 209,000 - 283,000; Full time

Benefits offered by this job

Relocation package incl. visa support

Hybrid work model

Job summary

Arm Limited is seeking an engineer for the AI Compute Infra team to design, build, and operate large-scale infrastructure for AI training, fine-tuning, evaluation, and inference.

You will 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.

Qualifications

• 8+ years in production cloud/compute infrastructure.
• Proficient in Go or Python and systems programming.
• Solid knowledge of Kubernetes, Linux, networking and storage.
• Experience supporting GPU/accelerator or distributed ML workloads.
• Strong troubleshooting and cross-team communication.

Responsibilities

• Design, build, and operate large-scale AI compute infra.
• Manage Kubernetes clusters, workload scheduling, and capacity.
• Integrate drivers, networking, storage, monitoring for accelerators.
• Collaborate with AI researchers to optimize reliability and performance.

Skills

Cloud infrastructure

Go programming

Python programming

Systems programming

Troubleshooting

Tools

Kubernetes

Containers

Linux

Networking

Storage

CUDA/NVIDIA techs

AWS EKS

Terraform

Argo CD

Helm

Prometheus

Grafana

Job description

As an 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 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:

• 8+ 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:

$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 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 look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: https://careers.arm.com/10x-mindset

Use of AI in Your Application

At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact [e-mail] so we can support you.

Recruitment Adjustments and Accommodations

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [e-mail]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working

Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.