Senior HPC & GPU Systems Engineer - On-Site IC Campus

MAXISIQ, Inc.; Bethesda (MD); On-site; USD 170,000 - 210,000; Full time

Job summary

MAXISIQ, Inc. seeks a mid-career Systems Engineer to design, develop, and optimize GPU clusters for IC customers. This 100% on-site role is based at Bethesda's Intelligence Community Campus, requiring TS/SCI with polygraph consideration.

You will install HPC/GPU hardware, tune Linux performance, and implement job scheduling with Slurm, PBS, Kubernetes. Strong Linux, hardware, and scripting skills are essential for success.

Qualifications

• > Bachelor's or higher degree in Computer Science, Electrical Engineering, or related field.
• > 4+ years of relevant systems engineering experience.
• > Expertise in Linux OS integration and hardware architecture.
• > Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux.

Responsibilities

• HPC and GPU environment engineering: install and maintain GPU/HPC hardware on-prem and in the cloud.
• Analyze cluster performance and optimize for Linux environments.
• Install and configure HPC/GPU job scheduling and workload platforms (e.g., Slurm, PBS, Kubernetes).
• Work on power management techniques to optimize GPU power consumption.
• Design and execute tests to validate GPU performance and functionality on Linux.
• Maintain comprehensive technical documentation and Linux best practices for GPU development.
• Stay updated on GPU industry trends and share insights with the team.

Skills

Linux systems

GPU hardware

Kubernetes

Python

BASH scripting

Slurm/PBS

Ansible/Salt/Terraform

Networking

Turndown DoD IAT II

Education

Bachelor's or higher in CS/EE

Tools

Docker

Kubernetes

Prometheus/Grafana

Terraform

Slurm

PBS

Job description

MAXISIQ, Inc. seeks a mid-career Systems Engineer to design, develop, and optimize GPU clusters for IC customers. This 100% on-site role is based at Bethesda's Intelligence Community Campus, requiring TS/SCI with polygraph consideration.

You will install HPC/GPU hardware, tune Linux performance, and implement job scheduling with Slurm, PBS, Kubernetes. Strong Linux, hardware, and scripting skills are essential for success.