GPU-Ready ML DevOps Engineer for Secure DoD Deployments

Nou Systems Inc; Colorado Springs (CO); Sur place; USD 120 000 - 165 000; Plein temps

Avantages offerts par ce poste

Competitive Wages

Health Insurance

401(k) Retirement Plan

Employee Stock Ownership Plan (ESOP)

Tuition Reimbursement

Paid Holidays

Résumé du poste

nou Systems, Inc. (nSI) is seeking a DevOps Engineer to join our R&D division working on advanced AI/ML applications in missile defense and related domains.

You will architect, deploy, and scale machine learning development workflows supporting SBIR/STTR projects and ensure secure deployments in DoD-restricted environments. You will collaborate across research teams to develop, test, and deploy ML capabilities quickly and securely, building GPU-ready environments, CI/CD pipelines, and

Qualifications

• Bachelor’s degree in computer science or a related technical field.
• 4 years of experience in DevOps, includingGPU-accelerated workloads.
• U.S. citizenship and ability to obtain a Secret clearance.

Responsabilités

• Build and maintain GPU-capable development environments and containerized workflows.
• Develop CI/CD pipelines with automated testing, linting, and deployment.
• Implement and enforce GitLab MR policies and code quality standards.
• Create shell scripts and config files to streamline setup, reproducibility, and remote development.
• Define and document standardized ML development practices across teams.
• Collaborate with ML researchers, software engineers, and cybersecurity teams to productionize prototypes.
• Support secure deployment of ML solutions in DoD-restricted environments.
• Contribute to SBIR/STTR project execution and proposal development.

Connaissances

Linux

Shell scripting

GitLab

Python ML tooling

Security

Formation

Bachelor's degree in CS or related

Outils

Podman

Conda

Poetry

Pixi

Artifactory

Terraform

Ansible

GitLab Runner

Description du poste

nou Systems, Inc. (nSI) is seeking a DevOps Engineer to join our R&D division working on advanced AI/ML applications in missile defense and related domains.

You will architect, deploy, and scale machine learning development workflows supporting SBIR/STTR projects and ensure secure deployments in DoD-restricted environments. You will collaborate across research teams to develop, test, and deploy ML capabilities quickly and securely, building GPU-ready environments, CI/CD pipelines, and