HPC Systems Engineer

Posted Yesterday
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Concord, NC, USA
In-Office
Entry level
Automotive • Manufacturing
The Role
Operate, maintain, and optimize RHEL-based GPU HPC clusters supporting engineering simulations. Administer Slurm, storage, license servers, software environments, and cluster management tools. Troubleshoot jobs and performance issues, support engineering users, automate health checks with Bash and Python, manage vendor tickets, and assist with expanding cluster capacity.
Summary Generated by Built In

GM Performance Power Units - Concord, NC

 

HPC Systems Engineer - Onsite

 

Job Summary

Own day-to-day operation, maintenance, and optimization of production and development engineering HPC cluster(s) supporting various CAE, CFD, and FEA simulation suites for multiple cross-functional engineering groups.

Key Responsibilities

  • Operate and maintain RHEL-based NVIDIA Base Command Manager HPC environment. Responsible for patching, imaging, driver and firmware updates, and node health monitoring and remediation.
  • Administer the Slurm scheduler: partitions, QoS, accounting, reservations, license tracking, prolog/epilog.
  • Administer NFS storage volumes, quotas, and permissions.
  • Administer license servers (FlexLM, RLM, DSLS) and license limit enforcements.
  • Install and maintain commercial simulation software and associated environment modules (STAR-CCM+, ANSYS Fluent, Abaqus, Converge CFD, GT-Suite, Optistruct, JMAG Electromagnetic, etc).
  • Provide direct user support: job script troubleshooting, failed and underperforming job diagnosis, user onboarding, documentation, and user training.
  • Investigate performance and reliability problems to root cause using systematic diagnosis; benchmark and validate node and fabric performance.
  • Write and maintain shell scripting for automation, health checks, reporting, and user-facing tooling.
  • Own vendor trouble tickets (hardware, software, licensing) through to resolution.
  • Consult and support build-out and commissioning of additional cluster capacity.

 

Required Qualifications

  • Linux system administration in a server or datacenter environment (RHEL family).
  • Slurm or comparable HPC workload manager (PBS, LSF, Grid Engine).
  • Cluster management tooling — Bright Cluster Manager / NVIDIA Base Command Manager.
  • NVIDIA GPU and driver administration.
  • Bash and python scripting.
  • Strong networking fundamentals; RDMA/RoCE or InfiniBand exposure.
  • MPI, NUMA topology, and CPU/memory performance tuning.
  • NFS and shared filesystem administration.
  • Familiarity with commercial CFD or FEA software.
  • Methodical troubleshooter — forms a hypothesis, tests it, and works a problem to resolution.
  • Comfortable with unfamiliar problems and vendor documentation.
  • Clear communicator with engineering end users.
  • Disciplined about change control on production systems.

 

Why Join Us

Ready to be part of a team that pushes boundaries both on and off the track? At GM Performance Power Units, we are developing a new era of performance for the Formula 1 grid. Joining us means entering a startup racing environment backed by a legacy of engineering excellence, giving you the rare opportunity to help build a world-class program from day one. We believe in rewarding innovation and powering potential. As part of our team, you’ll benefit from a competitive and comprehensive package designed to support your performance, well-being, and future, helping you thrive at every level.

That includes access to:

  • Bonus scheme
  • Private healthcare
  • 401(k) plan including company match
  • Employer-paid life insurance and disability coverage
  • 32 days annual leave (including holidays)
  • Free financial advisor access
  • Employee Assistance Programs (EAP)
  • Subsidized on-site dining
  • On-site gym
  • Discounted GM vehicle purchase/lease program
  • Free on-site EV charging for personal GM vehicles

 

It’s all part of our commitment to creating a workplace that’s as high-performing and forward-thinking as the people who make it succeed.

Join us and help power what’s next.

You’ll play a pivotal role in ensuring the reliability and performance of a next-generation Formula 1 power unit. Our culture rewards precision, innovation, and the relentless pursuit of performance.

Please note: GM Performance Power Units and all affiliated companies are Equal Opportunity employer(s). Minorities, women, veterans, and individuals with disabilities are encouraged to apply. For more information regarding the EEOC, please visit https://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf.

Only direct hires need apply to or inquire about job postings at GM Performance Power Units. We are not accepting calls, resumes or applications from recruiting firms at this time.

Skills Required

  • Linux system administration in a server or datacenter environment, especially the RHEL family
  • Experience with Slurm or a comparable HPC workload manager such as PBS, LSF, or Grid Engine
  • Experience with Bright Cluster Manager or NVIDIA Base Command Manager
  • NVIDIA GPU and driver administration
  • Bash and Python scripting
  • Strong networking fundamentals and exposure to RDMA, RoCE, or InfiniBand
  • Knowledge of MPI, NUMA topology, and CPU and memory performance tuning
  • NFS and shared filesystem administration
  • Familiarity with commercial CFD or FEA software
  • Methodical troubleshooting skills using hypothesis-driven diagnosis
  • Ability to work with unfamiliar problems and vendor documentation
  • Clear communication with engineering end users
  • Discipline regarding production-system change control
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The Company
147 Employees
Year Founded: 2025

What We Do

GM Performance Power Units LLC is a General Motors–TWG Motorsports venture developing hybrid and electric powertrains for Cadillac’s Formula 1 program. Its mission is to build the team, processes, and facilities needed to produce an F1 power unit capable of winning races and championships. The company’s work advances GM’s capabilities in electrification, hybrid systems, sustainable fuels, and high-efficiency internal-combustion engines, applying those technologies in elite motorsport.

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