Job Overview

Engineering IT provides the high-performance compute platforms that enable Arm’s engineering teams to design, verify, and deliver world-class products. The team operates a mix of on-premises and cloud-based HPC environments, EDA enablement services, job scheduling platforms, automation tooling, and custom workflows that are critical to engineering productivity across Arm.

We are looking for an HPC Operations Engineer to help run, improve, and modernize these services. This role combines production operations, site reliability engineering, automation, cloud integration, and close collaboration with engineering users and infrastructure teams.

Responsibilities

• Operate, support, and continuously improve Arm’s HPC platforms, with a solid focus on IBM Spectrum LSF and related job scheduling services.
• Improve reliability, scalability, performance, and operational efficiency through automation, observability, standardization, and SRE practices.
• Develop automation and self-service capabilities to reduce manual operational effort and improve the user experience.
• Support production HPC environments, including incident response, solve, root cause analysis, service restoration, and continuous improvement.
• Work directly with engineering users to improve job scheduling behavior, workload performance, resource utilization, and platform efficiency.
• Develop and maintain scripts, tools, and automation frameworks using Python, Bash, and related technologies.
• Support modernization initiatives involving containers, Kubernetes, Docker, cloud-native services, Infrastructure as Code, and alternative scheduling or orchestration technologies.
• Contribute to cloud HPC integration across AWS, GCP, Azure, OpenStack, and hybrid environments.
• Collaborate with platform, cloud, storage, infrastructure, networking, and security teams to deliver robust engineering services.
• Contribute to project delivery by working with technical leads, architects, project managers, and operational team members.
• Help define and promote standards for DevOps, SRE, platform engineering, CI/CD, monitoring, and infrastructure automation.

Required Skills and Experience

• Experience operating HPC environments and job schedulers such as IBM Spectrum LSF, Slurm, PBS, Grid Engine, or similar.
• Strong Linux system administration experience, preferably with RHEL or RHEL-based distributions.
• Good scripting and automation skills using Python, Bash, Shell, or similar languages.
• Experience supporting production infrastructure, including incident management, solve, operational recovery, and conducting RCA or comparable experience.
• Familiarity with monitoring, alerting, and observability platforms such as Dynatrace, Prometheus, Grafana, or similar.
• Experience building, maintaining, or supporting CI/CD pipelines and automation frameworks.
• Experience with public, private, or hybrid cloud platforms, including AWS, GCP, Azure, OpenStack, and Kubernetes-based services.
• Understanding of DevOps, SRE, platform engineering, infrastructure automation, and operational excellence principles.
• Familiarity with Agile delivery practices and collaboration tools such as Jira and Confluence.
• Ability to work with engineering users, understand workload requirements, and translate operational issues into practical improvements.

Desirable Experience

• Experience working in EDA or semiconductor engineering environments.
• Familiarity with EDA tools, license-aware scheduling, large-scale batch workloads, and engineering compute workflows.
• Exposure to container platforms and orchestration technologies such as Docker, Kubernetes, and Kubernetes-native scheduling.
• Experience with Infrastructure as Code tools such as Terraform and Ansible.
• Exposure to alternative schedulers such as Slurm or cloud-native workload orchestration systems.
• Experience using AI-assisted tooling, MCP, agentic services, or automation agents to improve diagnostics, operations, optimization, or self-service support.
• Experience operating large-scale distributed systems across both on-premises and cloud infrastructure.

Accommodations at Arm

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 at Arm

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 at Arm

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.