Design, build, and operate large-scale AI compute infrastructure for training, fine-tuning, evaluation, and inference. Manage Kubernetes clusters, workload scheduling, accelerator enablement, networking, storage, monitoring, and capacity. Troubleshoot complex application, cloud, cluster, and hardware issues while improving reliability, performance, scalability, and developer productivity. Partner with AI teams to automate provisioning, upgrades, monitoring, and maintenance.
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:
Necessary Skills and Experience:
"Preferred" Skills and Experience:
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 [email protected] 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 [email protected] . 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.
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 [email protected] 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 [email protected] . 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.
Similar Jobs at Arm
Artificial Intelligence • Internet of Things • Semiconductor
Leads Arm’s technical program management function across AI, software, developer platforms, and ecosystem initiatives. Establishes delivery operating models, planning frameworks, governance, risk management, portfolio reviews, and leadership reporting. Builds and develops distributed project management teams, translates strategy into technical delivery plans, resolves cross-functional trade-offs, and improves execution through metrics, automation, and portfolio insights. Partners with engineering, product, UX, business, marketing, legal, and ecosystem leaders.
Top Skills:
AIConfluenceDashboardsDeveloper ToolingIso RequirementsJIRAOpen Source SoftwareSoftware PlatformsWorkflow Automation
Artificial Intelligence • Internet of Things • Semiconductor
Define performance telemetry and profiling architecture for next-generation Arm platforms spanning CPUs, accelerators, memory, interconnects, I/O, networking, storage, and chiplets. Establish observability specifications, telemetry models, profiling hooks, and cross-layer data flows from silicon through software and developer tools. Collaborate with hardware, software, power, modeling, and tooling teams to support workload analysis, bottleneck detection, performance validation, power-performance optimization, silicon bring-up, and deployment debugging across AI, edge, automotive, robotics, and infrastructure systems.
Top Skills:
Ai AcceleratorsArm ArchitectureArm Performance StudioArm StreamlineCache HierarchiesChipletsCoherent InterconnectsCpusCxlEthernetFirmwareGpusHardware Performance CountersHypervisorsIntel VtuneLinuxLinux PerfMemory SystemsNvidia NsightNvlinkPcieRdmaSocsTrace MechanismsUalinkWindows Performance Analyzer
Artificial Intelligence • Internet of Things • Semiconductor
Design and build MLOps infrastructure for production deployment of data, machine-learning models, and software. Develop end-to-end ML pipelines, CI/CD/CT workflows, secure repository strategies, containerized deployments, and automation for Edge AI applications. Collaborate with developers, data scientists, and ML engineers to define tooling, monitor DevOps performance, and improve operational efficiency. Support embedded-system CI/CT, open-source pipelines, and model testing.
Top Skills:
AnsibleAWSAzureCC++DockerElasticsearchGerritGitGithub ActionsGitlab CiGrafanaJenkinsKibanaKubernetesLinuxPackerPrometheusPythonPyTorchTensorFlowTerraform
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
