GPU Systems Engineer 4

Base-2 Solutions; Chevy Chase (MD); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Life insurance

401(k) with match

PTO

Floating holidays

Flexible work schedule

Job summary

Base-2 Solutions seeks a Senior GPU Systems Engineer to design, implement, and optimize GPU clusters for enterprise AI mission systems. You will work on operating systems, hardware, GPU platforms, and high-speed networking in a secure customer environment, interfacing with AI/ML engineers and Linux teams.

The role emphasizes performance tuning, driver optimization, and automation using Bash, Python, Ansible, Puppet, and Salt, with DoD security requirements and on-site work in Bethesda, MD.

Qualifications

• Active TS/SCI with CI Polygraph eligibility.
• Bachelor's degree with 10 years in the field (or higher degrees with equivalent experience).
• Experience managing NVIDIA GPU data center platforms (DGX/HGX/H200/H100/L4s).
• Strong Linux and enterprise server knowledge; DoD 8570 IAT Level II minimum.

Responsibilities

• Design, configure, and maintain GPU clusters in secure environments.
• Define architectures for performance, power efficiency, and features.
• Integrate GPUs with Linux-based systems with AI/ML teams.
• Optimize drivers for reliability and performance.
• Analyze performance bottlenecks across hardware and software layers.
• Develop tooling with Bash, Python, Ansible, Puppet, and Salt; create docs.
• Maintain debugging and profiling utilities for Linux environments.
• Support DoD ATO activities and maintain security compliance.

Skills

Bash

Python

Ansible

Puppet

Salt

Linux

Team collaboration

Education

Bachelor's degree

Master's degree

PhD

Tools

DGX

HGX

H200

H100

L4s

Kubernetes

Prometheus

Grafana

Slurm

LSF

Job description

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

• Requisition ID: 3513
• Standard Title: Senior 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 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

• Bachelors' Degree with 10 years of experience.
• Masters' Degree with 10 years of experience.
• PhD with 10 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).