GPU Systems Engineer 3

Base-2 Solutions; Bethesda (MD); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan with company match

Paid time off

Job summary

Base-2 Solutions is seeking a GPU Systems Engineer in Bethesda, MD to design, implement, and optimize GPU clusters within secure government environments. The role emphasizes Linux-based integration, driver optimization, and collaboration with AI/ML engineers.

The ideal candidate will have TS/SCI clearance, DoD 8570 IAT Level II certifications, and experience with NVIDIA data center platforms. On-site work and strong cybersecurity compliance are required.

Qualifications

• Active TS/SCI with ability to obtain CI Polygraph.
• Bachelor’s degree with 6+ years of related experience or equivalent.
• Experience with NVIDIA GPU data center platforms (DGX/HGX/L4s/H100/H200).
• Strong Linux experience and scripting abilities.

Responsibilities

• Design, configure, and maintain GPU clusters.
• Collaborate with multidisciplinary teams to optimize architectures for performance and power efficiency.
• Integrate GPUs with Linux-based systems for AI/ML workloads.
• Optimize GPU drivers for reliability and performance.
• Analyze GPU performance and identify bottlenecks across hardware/software.
• Develop tools for debugging, profiling, and performance analysis on Linux.
• Maintain documentation and architecture specs; support security/compliance activities.

Skills

TS/SCI clearance

Team collaboration

Problem solving

Education

Bachelor’s degree in a related field

Tools

Linux (RHEL/Ubuntu)

Python

Bash

Ansible

Puppet

Salt

NVIDIA GPU technology

Kubernetes

Job description

• Required Security Clearance: Top Secret/SCI


• Location: Bethesda, MD


• Work Type: On-Site


• Shift: First

• Requisition ID: 3514


• Standard Title: GPU Systems Engineer


• Required Security Clearance: Top Secret/SCI


• Location: Bethesda, MD


• Work Type: On-Site


• Shift: First


• Referral Eligibility: Eligible


• U.S. Citizenship Required? Yes

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

• 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).