GPU Systems Engineer Security Clearance

Position: GPU Systems Engineer 3 with Security Clearance
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 six years of experience in the category field. Three additional years of experience may be substituted for the bachelor's degree.
* 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 9 Associates Degree 9 Bachelors' Degree 6 Masters' Degree 6 PhD 6 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 Care First, Kaiser, and United Healthcare, 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).