Job Description
Position Summary 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. Essential Duties and Responsibilities * Design, configure, and maintain GPU clusters. * Collaborate with a multidisciplinary team to define and optimize architectures for performance, power efficiency, and required features. * Work closely with AI/ML engineers to integrate GPUs with Linux-based systems. * Optimize GPU drivers for compatibility, reliability, and performance. * Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across hardware and software layers. * Build and maintain debugging tools, profiling utilities, and performance analysis software for Linux environments. * Leverage Bash, Python, Ansible, Puppet, and Salt for tooling and automation. * Maintain technical documentation, architectural specifications, and Linux best practices. * Support ATO activities and ensure compliance with federal security standards. Required Qualifications * Active TS/SCI with ability to obtain a CI Polygraph. * Bachelor's degree with a minimum of ten years of experience in the category field. * Experience managing NVIDIA GPU data center platforms, including DGX, HGX, H200, H100, and L4s. * Knowledge of enterprise server components, including storage/network controllers, HBAs, and SSDs. * Strong expertise with Linux distributions, including RHEL, Ubuntu, Oracle, and Rocky. * Excellent problem-solving skills and the ability to collaborate within a team. * Meet DoD 8570.11 IAT Level II certification requirements at a minimum; IAT Level III is also acceptable. * U.S. citizenship is required due to the nature of the government contracts supported. Preferred Qualifications * Experience with Kubernetes cluster management and AI/ML workflow orchestration, including Argo, Airflow, and Kubeflow. * Familiarity with GPU virtualization and cloud computing. * Experience with Prometheus and Grafana for monitoring. * Knowledge of distributed resource scheduling systems such as Slurm, LSF, or similar tools. Required Education and Experience Equivalency Education Years of Experience High School Diploma/GED Not Applicable Associates Degree Not Applicable Bachelors' Degree 10 Masters' Degree 10 PhD 10 Required Certifications * DoD 8570.11 IAT Level II certification: Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP. Required Security Clearance * Active TS/SCI with ability to obtain a CI Polygraph. Pay & Benefit Highlights Compensation * Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity). * Employee referral bonuses up to $10,000 per hired referral. * Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent). Health * 100% company-paid medical premiums for employees and eligible dependents. * Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans. * 100% company-paid dental premiums for employees and eligible dependents. * 100% company-paid vision premiums for employees and eligible dependents. Income Protection * 100% company-paid premiums for short-term disability. * 100% company-paid premiums for long-term disability. * 100% company-paid premiums for accidental death & dismemberment (AD&D). * 100% company-paid premiums for life insurance up to $200,000. Retirement * 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total). * 401(k) pre-tax and Roth options. Leave * Up to 20 days of flexible paid time off (PTO). * 11 paid floating holidays. Work-Life Balance * Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).