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Salary: USD 147,000 - 196,000 / annual
Anduril Industries, a defense technology company, is seeking a High Performance Computing (HPC) Systems Engineer to support sensitive national security programs. You will be part of a team building and maintaining large-scale HPC infrastructure, working directly with some of the world's best engineers and cybersecurity professionals to implement cutting-edge systems deployed globally.
Key responsibilities include:
- Architect and deploy advanced GPU infrastructure, leading the design, deployment, and lifecycle management of cutting-edge NVIDIA hardware (H100, H200, B200/B300 systems)
- Rack, stack, cable, and configure physical servers and multi-node GPU systems end-to-end
- Configure HPC and AI environments, including job schedulers (Slurm), multi-user login environments, and cluster management software (Warewulf, NVIDIA Base Command, RunAI)
- Implement and fine-tune high-speed interconnects (NVLink, NVSwitch, InfiniBand/NDR) for large-scale distributed training
- Configure and manage large-scale, high-performance storage platforms in the multiple petabytes range, optimized for AI/ML data access patterns
- Install, configure, and maintain application stacks on HPC clusters, including traditional simulation software (StarCCM+, Ansys, Matlab) and AI/ML software (NVIDIA drivers, CUDA, PyTorch, TensorFlow)
- Implement and manage GPU virtualization and sharing technologies (Multi-Instance GPU) to maximize resource utilization
- Troubleshoot complex system-wide issues related to application performance, user access, compute nodes, storage, and job queueing
- Utilize NVIDIA Data Center GPU Manager (DCGM) and additional tools to proactively monitor GPU health and performance
- Ensure security and integrity of server and cluster infrastructure through audits, patching, and proactive security measures
- Collaborate with engineering and AI/ML research stakeholders to gather requirements and architect scalable solutions
- Manage hardware lifecycle from quoting and procurement to deployment scheduling
- Provide technical guidance, mentoring, and architectural leadership to team members
You will work in a fast-paced, customer-focused environment supporting high-profile operational and research requirements.
REQUIREMENTS:
- 5+ years of experience designing, developing, and implementing large-scale compute enterprise systems and solutions
- Strong knowledge and experience with High Performance Computing concepts including cluster architecture, file systems, and high-speed InfiniBand/Ethernet interconnections
- Proven expertise in one or more of: Red Hat Enterprise Linux, Ubuntu, HPC, GPU, Azure, or AWS cloud services
- Strong understanding and experience with systems automation tools (Ansible, Salt, Puppet)
- Experience with HPC technologies such as parallel/distributed file systems (Lustre, GPFS, Pure, VAST)
- Working knowledge of HPC batch scheduler software (PBSPro, SLURM)
- AWS/Azure experience building HPC clusters
- Ability to lift 50 lbs
- Eligible to obtain and maintain a US Top Secret Clearance
