HPC Systems Engineer
Builds and maintains large-scale HPC/GPU infrastructure for Anduril's sensitive defense programs: racking and configuring NVIDIA H100/H200/B200 clusters, running Slurm scheduling, InfiniBand/NVLink interconnects, and petabyte-scale parallel storage, plus the AI/ML stack (CUDA, PyTorch) on RHEL/Ubuntu and AWS/Azure. Onsite in Costa Mesa, CA; US Top Secret clearance eligibility required.
- Compensation
- $147K–$196K / yr
- Location
- Costa Mesa, California, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 5+ years designing, developing, and implementing large-scale compute enterprise systems
- Strong knowledge of HPC concepts: cluster architecture, file systems, high-speed InfiniBand/Ethernet interconnects
- Proven expertise in one or more of: Red Hat Enterprise Linux, Ubuntu, HPC, GPU, Azure or AWS cloud services
- Experience with systems automation tools (Ansible, Salt, Puppet)
- Experience with parallel/distributed file systems (e.g., Lustre, GPFS, Pure, VAST)
- Working knowledge of HPC batch scheduler 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
Full description
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE ROLE
Anduril is seeking a High Performance Computing (HPC) System Engineer to directly support our most sensitive programs. You will be a part of the team building and maintaining large scale HPC infrastructure. You will have the opportunity to work with and learn from some of the world’s best engineers and cybersecurity professionals as you help to implement cutting edge systems. You will work directly to support systems deployed across the globe in support of national security missions.
WHAT YOU'LL DO
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Work in a fast-paced, customer-focused environment supporting high-profile operational and research requirements.
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Architect and deploy advanced GPU infrastructure, leading the design, deployment, and lifecycle management of cutting-edge NVIDIA hardware including H100, H200, and B200/B300 systems.
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Ability to rack, stack, cable, and configure physical servers and multi-node GPU systems from end to end.
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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).
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Implement and fine-tune high-speed interconnects (e.g., NVLink, NVSwitch, InfiniBand/NDR) crucial for large-scale distributed training.
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Configure and manage large-scale, high-performance storage platforms in the multiple petabytes range, optimized for AI/ML data access patterns.
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Install, configure, and maintain the application stack on HPC clusters, including traditional simulation software (StarCCM+, Ansys, Matlab) and the core AI/ML software stack (NVIDIA drivers, CUDA, PyTorch, TensorFlow).
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Implement and manage GPU virtualization and sharing technologies, such as Multi-Instance GPU (MIG), to maximize resource utilization across diverse workloads.
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Troubleshoot complex, system-wide issues related to application performance, user access, compute nodes, storage, and job queueing services.