As a software Engineer on the AI Compute Platform team, you will design and build a secure, reliable, and easy-to-use platform for running AI workloads at scale. You will develop control-plane services, APIs, orchestration systems, and developer tools for distributed training and inference, working closely with compute infrastructure teams, AI engineers, and internal users to improve reliability, scalability, and developer productivity across Arm’s AI workloads.
Responsibilities:
• Build scalable backend services, APIs, and asynchronous workflows for managing AI workloads.
• Develop Kubernetes controllers that manage workload submission, recovery, and long-running service lifecycles.
• Deliver secure multi-tenant capabilities covering access, secrets, quotas, and auditability.
• Improve platform scalability, observability, reliability, and developer workflows.
• Partner across teams to deliver distributed training, evaluation, and inference capabilities while strengthening engineering quality.
Essential Skills and Experience:
• 5+ years of experience building distributed systems, cloud platforms, or production backend services
• Experience with distributed ML training or inference systems
• Strong programming skills in Go, Python, or similar systems languages
• Practical knowledge of APIs, Kubernetes, containers, asynchronous processing, and relational databases.
• Ability to build clear interfaces and simplify infrastructure for engineers and researchers.
• Clear communication and a collaborative approach to problem-solving.
Desired Skills and Experience:
• Experience with Kubernetes operators, schedulers, resource management, or GitOps or equivalent experience
• Knowledge of RPC systems, PostgreSQL, Kafka, OpenTelemetry, Prometheus and Grafana
• Familiarity with distributed AI platforms, inference serving, or frameworks such as PyTorch, Ray, or vLLM
• Experience delivering developer tools or platform capabilities from early build through production
• Technical leadership, mentoring experience, or an advanced degree or equivalent experience in a related field
In Return:
You will have the opportunity to work on important technical challenges in AI and platform engineering as part of a growing team in Seattle. This position offers a chance to contribute to core platform capabilities. You’ll work alongside skilled colleagues from various subject areas and help invent the way new AI services are built and scaled at Arm.
In addition to meaningful technical work, Arm offers an environment that values thoughtful engineering, collaboration, and continuous learning. This opportunity suits someone who enjoys solving complex systems problems, working across teams, and contributing to technology important to the future of AI at Arm.
Additional Information
Please note that a relocation package (including visa sponsorship assistance) is offered for this role, for candidates who need 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: careers.arm.com
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 accommodations@arm.com 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 accommodations@arm.com . 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.
Requirements
Must-haves
Build scalable backend services, APIs, and asynchronous workflows for managing AI workloads.
Develop Kubernetes controllers that manage workload submission, recovery, and long-running service lifecycles.
Deliver secure multi-tenant capabilities covering access, secrets, quotas, and auditability.
Improve platform scalability, observability, reliability, and developer workflows.
Partner across teams to deliver distributed training, evaluation, and inference capabilities while strengthening engineering quality.
5+ years of experience building distributed systems, cloud platforms, or production backend services
Experience with distributed ML training or inference systems
Strong programming skills in Go, Python, or similar systems languages
Practical knowledge of APIs, Kubernetes, containers, asynchronous processing, and relational databases.
Ability to build clear interfaces and simplify infrastructure for engineers and researchers.
Clear communication and a collaborative approach to problem-solving.
Experience with Kubernetes operators, schedulers, resource management, or GitOps or equivalent experience
Knowledge of RPC systems, PostgreSQL, Kafka, OpenTelemetry, Prometheus and Grafana
Familiarity with distributed AI platforms, inference serving, or frameworks such as PyTorch, Ray, or vLLM
Experience delivering developer tools or platform capabilities from early build through production
Technical leadership, mentoring experience, or an advanced degree or equivalent experience in a related field
Additional Information
Please note that a relocation package (including visa sponsorship assistance) is offered for this role, for candidates who need it.
Our 10x Mindset
Use of AI in Your Application
Recruitment Adjustments and Accommodations
Hybrid Working
Equal Opportunities
Nice-to-haves
None flagged.
Application prep
Use the role’s language and application details while tailoring your materials.