{"id":2111197,"url":"https://alion.io/job/base-2-solutions-gpu-systems-engineer-4","title":"GPU Systems Engineer 4","company":{"id":3900854,"name":"Base-2 Solutions","domain":"base-2solutions.com","url":"https://alion.io/company/base-2-solutions","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":80,"open_postings":16,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":7,"computed_at":"2026-10-12T06:55:09Z"}},"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":null,"salary_estimate":{"min_usd":127000,"max_usd":241000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1129},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"Bash","optional":false},{"name":"Linux","optional":false},{"name":"Puppet","optional":false},{"name":"Python","optional":false},{"name":"Ubuntu","optional":false},{"name":"Grafana","optional":true},{"name":"Kubeflow","optional":true},{"name":"Kubernetes","optional":true},{"name":"Prometheus","optional":true},{"name":"SLURM","optional":true}],"status":"live","first_seen_at":"2026-07-27T00:00:00Z","employer_posted_date":"2026-07-27","last_verified_at":"2026-10-12T03:29:58Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":77},"description":"LocationBethesda, Maryland\n Security clearanceTop Secret/SCI\n Work arrangementOn-Site\n Requisition5210\n Apply for this role(opens in a new tab) Opens this requisition in our secure applicant portal.\n Position Summary\n Support enterprise AI mission systems by designing, developing, and optimizing GPU clusters, with deep focus on operating systems, hardware, GPU platforms, and high-speed networking in a secure customer environment.\nEssential Duties and Responsibilities\n Design, configure, and maintain GPU clusters.\nCollaborate with a multidisciplinary team to define and optimize architectures for performance, power efficiency, and required features.\nWork closely with AI/ML engineers to integrate GPUs with Linux-based systems.\nOptimize GPU drivers for compatibility, reliability, and performance.\nAnalyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across hardware and software layers.\nBuild and maintain debugging tools, profiling utilities, and performance analysis software for Linux environments.\nLeverage Bash, Python, Ansible, Puppet, and Salt for tooling and automation.\nMaintain technical documentation, architectural specifications, and Linux best practices.\nSupport ATO activities and ensure compliance with federal security standards.\nRequired Qualifications\n Active TS/SCI with ability to obtain a CI Polygraph.\nBachelor's degree with a minimum of ten years of experience in the category field.\nExperience managing NVIDIA GPU data center platforms, including DGX, HGX, H200, H100, and L4s.\nKnowledge of enterprise server components, including storage/network controllers, HBAs, and SSDs.\nStrong expertise with Linux distributions, including RHEL, Ubuntu, Oracle, and Rocky.\nExcellent problem-solving skills and the ability to collaborate within a team.\nMeet DoD 8570.11 IAT Level II certification requirements at a minimum; 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