{"id":3099288,"url":"https://alion.io/job/anduril-industries-hpc-systems-engineer","title":"HPC Systems Engineer","company":{"id":14,"name":"Anduril Industries","domain":"anduril.com","url":"https://alion.io/company/anduril","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":583,"ghost_share":0,"stale_share":0.78,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-10-25T05:49:26Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Costa Mesa, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":147000,"max":196000,"currency":"USD","period":"year","gross":null,"usd_annual":196000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Ansible","optional":false},{"name":"ANSYS","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"HPC","optional":false},{"name":"InfiniBand","optional":false},{"name":"Linux","optional":false},{"name":"MATLAB","optional":false},{"name":"NVLink","optional":false},{"name":"Puppet","optional":false},{"name":"PyTorch","optional":false},{"name":"Red Hat","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"SLURM","optional":false},{"name":"STAR-CCM+","optional":false},{"name":"TensorFlow","optional":false},{"name":"Ubuntu","optional":false}],"status":"live","first_seen_at":"2026-10-22T15:27:08Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-25T08:12:16Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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.\nABOUT THE ROLE\nAnduril 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.\nWHAT YOU'LL DO\nWork in a fast-paced, customer-focused environment supporting high-profile operational and research requirements.\nArchitect and deploy advanced GPU infrastructure, leading the design, deployment, and lifecycle management of cutting-edge NVIDIA hardware including H100, H200, and B200/B300 systems.\nAbility to rack, stack, cable, and configure physical servers and multi-node GPU systems from end to end.\nConfigure 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).\nImplement and fine-tune high-speed interconnects (e.g., NVLink, NVSwitch, InfiniBand/NDR) crucial for large-scale distributed training.\nConfigure and manage large-scale, high-performance storage platforms in the multiple petabytes range, optimized for AI/ML data access patterns.\nInstall, 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).\nImplement and manage GPU virtualization and sharing technologies, such as Multi-Instance GPU (MIG), to maximize resource utilization across diverse workloads.\nTroubleshoot complex, system-wide issues related to application performance, user access, compute nodes, storage, and job queueing services.\nUtilize 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.\nEnsure the security and integrity of the server and cluster infrastructure through regular audits, patching, and proactive security measures.\nCollaborate closely with engineering and AI/ML research stakeholders to gather requirements and architect robust, scalable solutions.\nManage the hardware lifecycle, from quoting and procuring hardware from vendors to creating and executing deployment schedules.\nProvide technical guidance, mentoring, and architectural leadership to other team members.\nREQUIRED QUALIFICATIONS\n5+ years of experience in designing, developing, and implementing large scale compute enterprise systems and solutions\nStrong Knowledge and experience with High Performance Computing concepts to include cluster architecture file system, and high-speed infiniBand/ethernet interconnections\nProven expertise in one or more of the following, Red Hat Enterprise Linux, Ubuntu, HPC, GPU, Azure or AWS cloud services\nStrong understanding and experience with systems automation tools (Ansible, Salt, Puppet)\nExperience in HPC technologies such as parallel/distribution file systems (e.g., Lustre, GPFS, Pure, VAST)\nWorking knowledge of HPC batch schedule software (e.g., PBSPro, SLURM)\nAWS/Azure experience building HPC clusters\nAbility to lift 50 lbs\nEligible to obtain an maintain a US Top Secret Clearance\nUS Salary Range\n$147,000—$196,000 USD\nThe 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: \nBenefits\nAt 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.\nProtecting Yourself from Recruitment Scams\nAnduril 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.\nTo ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\nNo 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.\n\nPlease 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.\nVia 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 . \n\nExercise 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.\n\nWhat to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.\n\nData Privacy\nTo view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. \nBy 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. 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