{"id":155442,"url":"https://alion.io/job/leidos-systems-engineer-hpc-gpu-infrastructure","title":"Systems Engineer – HPC & GPU Infrastructure","company":{"id":7791,"name":"Leidos","domain":"leidos.com","url":"https://alion.io/company/leidos","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":173,"ghost_share":0.006,"stale_share":0.798,"repost_share":0.006,"time_to_fill_p50_days":27,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bethesda, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":131300,"max":237350,"currency":"USD","period":"year","gross":null,"usd_annual":237350},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Ansible","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Puppet","optional":false},{"name":"Python","optional":false},{"name":"SLURM","optional":false},{"name":"Terraform","optional":false},{"name":"DHCP","optional":true},{"name":"DNS","optional":true},{"name":"Docker","optional":true},{"name":"Grafana","optional":true},{"name":"Prometheus","optional":true},{"name":"TCP/IP","optional":true}],"status":"live","first_seen_at":"2026-08-28T19:46:14Z","employer_posted_date":"2026-08-28","last_verified_at":"2026-10-17T09:51:40Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"Leidos is looking for a senior Systems Engineer - HPC & GPU Infrastructure with a deep understanding of operating systems, hardware, Kubernetes, and NVIDIA GPU products. As a senior Systems Engineer - HPC & GPU Infrastructure, you will play a pivotal role in designing, developing, and optimizing GPU clusters for the IC community customers.\nThis is a 100% on-site position. All work must be performed at the customer site in Bethesda at the Intelligence Community Campus.\nResponsibilities:\nHPC and GPU environment engineering: Contribute to the installation and maintenance of GPU and HPC hardware on-prem and in the cloud, providing insights into hardware performance to ensure efficient interaction with software components.\n\nPerformance Optimization: Analyze HPC/GPU cluster performance, identify bottlenecks, and develop strategies to enhance performance across various applications in Linux, addressing both hardware and software considerations. Regularly monitor and improve performance.\n\nHPC/GPU tooling: Install and configure HPC/GPU job scheduling and workload management platforms such as Slurm , PBS , Apache Airflow , Kubernetes\n\nPower Efficiency: Work on power management techniques to optimize GPU power consumption, ensuring efficient operation on both mobile and desktop Linux platforms. Continuously assess and enhance power efficiency strategies.\n\nTesting and Validation: Design and execute tests to validate GPU performance and functionality on Linux, including stress testing, benchmarking, and debugging to ensure robust operation. Maintain and expand the testing suite.\n\nDocumentation: Maintain comprehensive technical documentation, including architectural specifications, code documentation, and Linux-specific best practices for GPU development. Keep documentation up to date with changes and improvements.\n\nIndustry Insight: Stay updated on the latest trends, innovations, and competitive landscapes within the GPU industry, contributing to research efforts and proposing Linux-specific approaches to GPU design and optimization. Share regular updates and insights with the team.\n\nYou Bring\nBachelor's or higher degree in Computer Science, Electrical Engineering, or a related field. Additional years of experience may be considered in lieu of a degree.\n\n12+ years of relevant systems engineering experience\n\nExpertise in operating system integration for Linux.\n\nStrong understanding of computer hardware architecture, particularly as it relates to Linux systems.\n\nKnowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments.\n\nExcellent problem-solving skills and the ability to collaborate within a team.\n\nStrong communication skills for conveying technical information in a Linux context.\n\nProficiency with scripting languages such as Python or BASH.\n\nProficiency with automation tools such Ansible, Puppet, Salt, Terraform, etc.\n\nCandidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP).\n\nClearance\nActive TS/SCI clearance with Polygraph required OR active TS/SCI and willingness to obtain and maintain a Poly.\n\nUS Citizenship is required due to the nature of the government contracts we support.\n\nPreferred Qualifications\nKnowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field.\n\nExperience with container technologies (Docker, Kubernetes)\n\nExperience with Prometheus/Grafana for monitoring\n\nKnowledge of distributed resource scheduling systems\n\nUnderstanding data center networking hardware and cabling concepts.\n\nUnderstanding of networking technologies such as DHCP, DNS, TCP/IP, VLANs, HSRP, and SNMP.\n\nKnowledge of data center networking security principles Firewall ACLs, IPS/IDS, and Policy Based Routing.\n\nIf you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.\nOriginal Posting:\nJuly 13, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.\n Pay Range:\nPay Range $131,300.00 - $237,350.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.","description_format":"text","description_chars":5079,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["National Security","C4ISR","Defense Manufacturing","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-08-28T19:46:14Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 50 · green card filings: 24","filings_12m":50,"filings_prev_12m":58,"green_card_filings_12m":24,"median_offered_wage_usd":124257,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":22}],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.409,"p_room":0.36,"age_days":49,"expected_fill_days":27,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":237350,"is_top_pay":true},"html_url":"https://alion.io/job/leidos-systems-engineer-hpc-gpu-infrastructure","json_url":"https://alion.io/job/leidos-systems-engineer-hpc-gpu-infrastructure.json","meta":{"generated_at":"2026-10-17T10:44:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14002,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7791},"rest":"https://alion.io/mcp/rest/get_company?id=7791"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fleidos-systems-engineer-hpc-gpu-infrastructure"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fleidos-systems-engineer-hpc-gpu-infrastructure"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fleidos-systems-engineer-hpc-gpu-infrastructure"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/leidos-systems-engineer-hpc-gpu-infrastructure\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fleidos-systems-engineer-hpc-gpu-infrastructure"}]}