HPC Systems Engineer

KLA • Ann Arbor, MI

3d

About The Position

We’re looking for a HPC Systems Engineer to help power the compute infrastructure behind our R&D innovation! In this role, you’ll support and evolve a high‑performance Linux cluster used for physics modeling, simulation, algorithm development, and machine‑learning workloads—enabling hundreds of engineers to do their best work every day. You’ll play a key role in driving the reliability, performance, and scalability of a shared, mission‑critical HPC environment, partnering closely with infrastructure, DevOps, and application teams to keep the platform fast, resilient, and ready for the most demanding computational challenges!

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• 3+ years of hands‑on Linux systems administration experience
• Direct experience working with HPC or large‑scale compute environments
• Practical experience with at least one HPC scheduler (SLURM, LSF, PBS, or similar)
• Strong Linux troubleshooting skills (processes, memory, I/O, networking, performance analysis)
• Comfort working in CLI‑driven, production infrastructure environments

Nice To Haves

• Experience supporting GPU‑accelerated workloads (CUDA, drivers, GPU scheduling concepts)
• Familiarity with parallel computing or scientific/engineering workloads
• Experience with cluster storage systems (e.g., Lustre, BeeGFS, NFS, or high‑performance NAS/SAN)
• Exposure to automation tools (Ansible, scripting, Infrastructure‑as‑Code concepts)
• Familiarity with containers in HPC contexts (Singularity / Apptainer, rootless containers)
• Experience supporting internal developer or research communities

Responsibilities

• HPC Platform Operations
• Operate and maintain a large-scale Linux based HPC cluster used for internal R&D workloads
• Manage compute nodes, login nodes, and supporting infrastructure in a multi-tenant environment
• Monitor cluster health, performance, and capacity; respond to incidents and degradations
• Scheduler & Workload Management
• Configure, tune, and support HPC job schedulers (e.g., SLURM, LSF, PBS, or equivalent)
• Assist users with job submission issues, resource requests, and queue optimization
• Help optimize scheduler policies to balance throughput, fairness, and utilization
• Linux Systems Engineering
• Install, configure, and maintain Linux operating systems across compute and service nodes
• Manage OS updates, kernel changes, drivers (including GPU drivers where applicable), and system hardening
• Troubleshoot complex Linux performance, networking, storage, and process level issues
• Performance & Scaling
• Support high throughput and parallel workloads across CPU and GPU resources
• Diagnose performance bottlenecks across compute, storage, network, and scheduler layers
• Assist with scaling activities such as node expansions, re provisioning, and hardware refreshes
• Automation & Reliability
• Use automation and configuration management tools to ensure consistency across the cluster
• Contribute to scripting and tooling for node provisioning, validation, and lifecycle management
• Participate in on call or escalation rotations as required to support a production R&D platform
• Collaboration & User Support
• Partner with internal engineering teams to understand workload requirements and usage patterns
• Provide guidance and best practices for running workloads efficiently on shared HPC systems
• Contribute to internal documentation and operational runbooks

Benefits

• medical
• dental
• vision
• life
• other voluntary benefits
• 401(K) including company matching
• employee stock purchase program (ESPP)
• student debt assistance
• tuition reimbursement program
• development and career growth opportunities and programs
• financial planning benefits
• wellness benefits including an employee assistance program (EAP)
• paid time off and paid company holidays
• family care and bonding leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level