Anduril
HPC Systems Engineer
$147K–$196K
Costa Mesa, California, United States · Full-time · Posted Oct 28, 2026
- Experience
- 5+ years in designing, developing, and implementing large-scale compute enterprise systems and solutions.
About the job
Designs, deploys, secures, and maintains large-scale HPC and GPU infrastructure supporting operational, research, and AI/ML workloads.
What you'll do
- Architect and manage GPU clusters, high-speed interconnects, storage, schedulers, and HPC/AI software environments.
- Troubleshoot and monitor cluster performance, GPU health, access, storage, and job scheduling; maintain infrastructure security.
- Coordinate hardware procurement and deployment, and collaborate with engineering and AI/ML teams on scalable solutions.
What they ask for
- 5+ years designing, developing, and implementing large-scale compute enterprise systems and solutions.
- Knowledge of HPC concepts, including cluster architecture, file systems, and high-speed InfiniBand/Ethernet interconnections.
- Expertise in one or more of Red Hat Enterprise Linux, Ubuntu, HPC, GPU, Azure, or AWS; experience with systems automation tools such as Ansible, Salt, or Puppet.
- Ability to lift 50 lbs and eligible to obtain and maintain a US Top Secret Clearance.
Pay
$147,000 — $196,000 USD (base salary)
Tools
NVIDIA, Slurm, Warewulf, NVIDIA Base Command, RunAI, InfiniBand/NDR, CUDA, PyTorch
AI focus
Builds and operates GPU infrastructure and AI/ML environments, supports distributed training, monitors GPU performance, and collaborates with ML engineers and AI/ML researchers.
Model-written summary · the original posting is authoritative