HPC Systems Engineer

KLA•Ann Arbor, MI

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