HPC Engineer

• 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.

• 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.

• 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.

What We Do

We bring brilliant people together in a global ecosystem that is sparking the world’s potential. Arm technology enables specialized processing built on the economics design freedom and accessibility of general-purpose compute that has so far led to more than 180 billion chips being shipped by our partners.

Why Work With Us

At Arm we build the future of computing powering everything from smartphones to AI. Our 10x mindset drives bold thinking and deep collaboration to solve complex problems together. With a people first culture flexible work and strong support for growth and wellbeing your ideas can make a global impact while your career thrives.

Gallery