Graphics Processing Unit; GPU Engineer

Job Description

Base-2 Solutions is seeking a highly skilled Systems 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.

Primary 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, 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.

Qualifications

• Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field.
  • 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).

Clearance

• TS/SCI clearance with Polygraph required or a TS/SCI and willingness to obtain a Polygraph prior to starting.

Preferred Qualifications

• 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.)