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:
• 5+ 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 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
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.
5+ 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.
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.
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.
(Recruiter to Complete)
Please note that a relocation package (including visa sponsorship support) is available for this role, for candidates who require 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.