absc-us
absc-us~7h ago
New

Systems Engineer - Graphics Processing Unit (GPU)

United StatesUnited States·Bethesdamid
Systems EngineerInfrastructure & Cloud
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Quick Summary

Key Responsibilities

GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency,

Requirements Summary

Work closely with AI/ML engineers to ensure smooth GPU integration with Linux-based systems. Optimize GPU drivers for compatibility, reliability, and performance.

Technical Tools
Systems EngineerInfrastructure & Cloud

Absolute Business Solutions Corp (ABSC) is not just another tech company. We’re a community of innovators, engineers, analysts and business professionals working together with our customers to tackle the most complex challenges. For more than 20 years we’ve supported critical Department of Defense (DoD), Intelligence Community (IC), Federal Civilian missions and global, multi-national corporations. We specialize in supporting our clients in the Intelligence, Technology, Defense, Artificial Intelligence and Machine Learning (AI/ML), and Data Science fields. As we continue to grow at a rapid pace, we need some amazing new professionals to join our team.

ABSC has an exciting opening for you as our next Systems Engineer - Graphics Processing Unit (GPU) supporting DIA's National Media Exploitation Center (NMEC) under our 10-year DOMEX Technology Platform (DTP) contract (TO4). ABSC is looking for a highly skilled GPU Engineer with deep expertise in operating systems, hardware, GPU, and high-speed networking. In this role, you will design, develop, and optimize GPU clusters that power enterprise AI for the mission customers.

This is a 100% on-site position. All work must be performed at the customer site in Bethesda at the Intelligence Community Campus (ICC-B).

Responsibilities

~1 min read
  • GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency, and feature requirements.
  • Operating System Integration: Work closely with AI/ML engineers to ensure smooth GPU integration with Linux-based systems. Optimize GPU drivers for compatibility, reliability, and performance. Provide regular maintenance and updates.
  • Performance Optimization: Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across hardware and software layers.
  • Tooling and Automation: Build and maintain debugging tools, profiling utilities, and performance analysis software for Linux environments. Leverage scripting and configuration tools such as Bash, Python, Ansible, Puppet, and Salt.
  • Compliance & Documentation: Maintain technical documentation, architectural specifications, and Linux best practices. Support ATO (Authority to Operate) and ensure compliance with federal security standards.

Requirements

~1 min read
  • Bachelor's or higher degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field with at least 12 years of related technical experience. Additional years of experience may be considered in lieu of a degree.
  • 10+ years of relevant systems engineering experience
  • Experience in managing NVIDIA GPU data center platforms. (DGX, HGX, H200, H100, L4s).
  • Knowledge of enterprise server components (storage/network controllers, HBA, SSDs).
  • Strong expertise with Linux distributions. (RHEL, Ubuntu, Oracle, and Rocky).
  • Excellent problem-solving skills and the ability to collaborate within a team.
  • Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP).
  • Experience with Kubernetes cluster management and AI/ML workflow orchestration (Argo, Airflow, and Kubeflow).
  • Familiarity with GPU virtualization and cloud computing.
  • Experience with Prometheus/Grafana for monitoring.
  • Knowledge of distributed resource scheduling systems (Slurm (preferred), LSF, etc.).

Salary is commensurate with experience. Salary range for this requisition is: $140k-$225k annual.

What We Offer

~1 min read
Generous PTO plus 11 Federal Holidays
Retirement Planning – 401k Fully Vested with Match
Annual Health and Wellness Allowance – buy an Apple Watch, a treadmill, or hit the gym on us
Career Development – Annual Funds to spend on Education and Training
Volunteer Time Off – Annually, all employees can spend 8 hours directly supporting a charity of choice
Charitable Match – ABSC matches an employee’s donation to a qualifying charity
Referral Program – We pay for internal and external referrals!
LOV Awards – Earn bonus awards throughout the year from our Living Our Values awards program

Location & Eligibility

Where is the job
Bethesda, United States
On-site at the office

Listing Details

First seen
May 21, 2026
Last seen
May 21, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
52%
Scored at
May 21, 2026

Signal breakdown

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absc-usSystems Engineer - Graphics Processing Unit (GPU)