HPC Systems Engineer
Anduril Industries · Costa Mesa, California, United States
About this role
**HPC Systems Engineer — Anduril Industries** ## About the Role Anduril is seeking a High Performance Computing (HPC) System Engineer to directly support sensitive programs. You’ll help build and maintain large-scale HPC infrastructure, working alongside top engineers and cybersecurity professionals. You’ll support systems deployed across the globe in support of national security missions. ## What You’ll Do - Work in a fast-paced, customer-focused environment supporting high-profile operational and research requirements. - Architect and deploy advanced GPU infrastructure, leading design, deployment, and lifecycle management of NVIDIA hardware (including H100, H200, and B200/B300). - Rack, stack, cable, and configure physical servers and multi-node GPU systems end-to-end. - Configure HPC and AI environments, including job schedulers (e.g., Slurm), multi-user login environments, and cluster management software (e.g., Warewulf, NVIDIA Base Command, RunAI). - Implement and fine-tune high-speed interconnects (e.g., NVLink, NVSwitch, InfiniBand/NDR) for large-scale distributed training. - Configure and manage large-scale, high-performance storage platforms (multiple petabytes) optimized for AI/ML data access patterns. - Install, configure, and maintain the application stack on HPC clusters (e.g., StarCCM+, Ansys, Matlab; plus NVIDIA drivers, CUDA, PyTorch, TensorFlow). - Implement and manage GPU virtualization/sharing technologies such as Multi-Instance GPU (MIG). - Troubleshoot complex, system-wide issues across application performance, user access, compute nodes, storage, and job queueing services. - Use NVIDIA Data Center GPU Manager (DCGM) and other tools to proactively monitor GPU health/performance and diagnose training bottlenecks with ML engineers. - Ensure security and integrity of server/cluster infrastructure via audits, patching, and proactive security measures. - Collaborate with engineering and AI/ML research stakeholders to gather requirements and architect scalable solutions. - Manage the hardware lifecycle from quoting/procurement through deployment scheduling. - Provide technical guidance, mentoring, and architectural leadership. ## Required Qualifications - 5+ years of experience designing, developing, and implementing large-scale compute enterprise systems and solutions. - Strong knowledge of HPC concepts including cluster architecture, file systems, and high-speed InfiniBand/Ethernet interconnections. - Proven expertise in one or more: Red Hat Enterprise Linux, Ubuntu, HPC, GPU, Azure, or AWS. - Strong understanding/experience with systems automation tools (Ansible, Salt, Puppet). - Experience with HPC technologies such as parallel/distributed file systems (e.g., Lustre, GPFS, Pure, VAST). - Working knowledge of HPC batch scheduling software (e.g., PBSPro, SLURM). - AWS/Azure experience building HPC clusters. - Ability to lift 50 lbs. - Eligible to obtain and maintain a US Top Secret Clearance. ## Salary Range **$147,000 – $196,000 USD** (base salary estimate; equity and benefits may also apply.) ## Benefits Anduril offers a comprehensive, competitive benefits package. For more information, visit: https://www.anduril.com/careers ## Protecting Yourself from Recruitment Scams - **No financial requests:** Anduril will not solicit payment or request sensitive financial details during hiring. - **Verify communications:** Recruiter emails will come from **@anduril.com**. If contacted via an agency, the agency will be clea
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