GPU Systems Engineer 3

Base-2 Solutions; Chevy Chase (MD); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health and dental premiums paid by the

Vision and life insurance

401(k) with company match

Job summary

Base-2 Solutions seeks a GPU Systems Engineer in Bethesda, MD to design, deploy, and optimize GPU clusters for enterprise AI mission systems in a secure customer environment.

You will work with Linux-based systems, optimize drivers, and collaborate with AI/ML engineers to ensure performance, reliability, and compliance with federal standards. This on-site role offers first shift and a strong security-focused team.

Qualifications

• Active TS/SCI clearance and ability to obtain CI Polygraph.
• Bachelor's degree with 6+ years of related experience (or 9 years without the degree).
• Experience managing NVIDIA GPU data center platforms (DGX, HGX, H200, H100, L4).
• Strong Linux expertise (RHEL/Ubuntu/Oracle/Rocky) and enterprise components.
• Ability to work in a DoD-related secure environment and collaborate in a team.

Responsibilities

• Design, configure, and maintain GPU clusters in a secure environment.
• Collaborate to optimize architectures for performance and power efficiency.
• Integrate GPUs with Linux-based systems with AI/ML teams.
• Tune GPU drivers for reliability and performance.
• Analyze GPU performance and optimize bottlenecks across stack.
• Develop and maintain debugging, profiling, and performance tools for Linux.
• Use Bash, Python, Ansible, Puppet, Salt for automation.
• Maintain documentation and Linux best practices.
• Support ATO activities and DoD security compliance.

Skills

TS/SCI clearance

CI Polygraph

Linux expertise

Team collaboration

Problem solving

Secure DoD environment

Education

Bachelor's degree + 6 yrs exp

Associate degree + 9 yrs exp

Master's degree + 6 yrs exp

PhD + 6 yrs exp

Tools

DGX systems

HGX platform

H200

H100

L4S

Linux

Kubernetes

Prometheus

Grafana

Slurm

Job description

GPU Systems Engineer

• Required Security Clearance: Top Secret/SCI
• Location: Bethesda, MD
• Work Type: On-Site
• Shift: First

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

• High School Diploma/GED with 9 years of experience.
• Associates Degree with 9 years of experience.
• Bachelors' Degree with 6 years of experience.
• Masters' Degree with 6 years of experience.
• PhD with 6 years of experience.

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).