Level

Anduril Industries

HPC Systems Engineer

Anduril Industries is hiring an HPC Systems Engineer. It pays $147k-$196k a year and Level rates it ; you can apply on Anduril Industries.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • The posting mentions PyTorch, TensorFlow and Slurm among its tools and skills.
  • Level classes it as a senior role.
  • Anduril Industries has 2,500+ other open roles on Level.
  • Posted within the past week.

AI in this role

Architect and maintain large-scale HPC and GPU infrastructure dedicated to supporting AI and simulation workloads.

pytorchtensorflowslurmwarewulfnvidia-base-commandrunainvlinkinfinibandcudaansysmatlab
computer-visionhpcgpu-architecturecluster-managementdistributed-traininggpu-virtualization

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

  • Work in a fast-paced, customer-focused environment supporting high-profile operational and research requirements.
  • 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.
  • Ability to rack, stack, cable, and configure physical servers and multi-node GPU systems from 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) crucial 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 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).
  • Implement and manage GPU virtualization and sharing technologies, such as Multi-Instance GPU (MIG), to maximize resource utilization across diverse workloads.
  • Troubleshoot complex, system-wide issues related to application performance, user access, compute nodes, storage, and job queueing services.
  • Utilize NVIDIA Data Center GPU Manager (DCGM) and additional tools to proactively monitor GPU health and performance, diagnosing and resolving training bottlenecks in collaboration with ML engineers.
  • Ensure the security and integrity of the server and cluster infrastructure through regular audits, patching, and proactive security measures.
  • Collaborate closely with engineering and AI/ML research stakeholders to gather requirements and architect robust, scalable solutions.
  • Manage the hardware lifecycle, from quoting and procuring hardware from vendors to creating and executing deployment schedules.
  • Provide technical guidance, mentoring, and architectural leadership to other team members.

REQUIRED QUALIFICATIONS

  • 5+ years of experience in designing, developing, and implementing large scale compute enterprise systems and solutions
  • Strong Knowledge and experience with High Performance Computing concepts to include cluster architecture file system, and high-speed infiniBand/ethernet interconnections
  • Proven expertise in one or more of the following, Red Hat Enterprise Linux, Ubuntu, HPC, GPU, Azure or AWS cloud services
  • Strong understanding and experience with systems automation tools (Ansible, Salt, Puppet)
  • Experience in HPC technologies such as parallel/distribution file systems (e.g., Lustre, GPFS, Pure, VAST)
  • Working knowledge of HPC batch schedule software (e.g., PBSPro, SLURM)
  • AWS/Azure experience building HPC clusters
  • Ability to lift 50 lbs
  • Eligible to obtain an maintain a US Top Secret Clearance

 

US Salary Range$147,000—$196,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: 

 

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

 

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

  • No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.

  • Please always verify communications:
    • Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
    • Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. 
  • Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.

  • What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

 

Data Privacy

To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. 

 

By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

How we rate this

HPC Systems Engineer at Anduril Industries rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionHpcGPU ArchitectureCluster ManagementDistributed TrainingGPU VirtualizationPyTorchTensorFlow

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Tell me about a project where hpc was part of your work. What did you do?
  3. Tell me about a project where gpu architecture was part of your work. What did you do?
  4. Tell me about a project where cluster management was part of your work. What did you do?
  5. Tell me about a project where distributed training was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Computer vision, Hpc, GPU Architecture, Cluster Management, and Distributed Training. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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