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GPU Systems Engineer 4

Base-2 Solutions ↗

📍 Bethesda, MD, United States 🇺🇸

full-time

senior

187181

on-site

Expired

Posted —

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Key Skills

GPULinuxAnsiblePuppetKubernetes

Industry

AerospaceDefense

Job Description

Requisition ID: 2502
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

Pay Range

$187,181.44 - $212,138.97 Annually

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