AI Engineer, Compute Infrastructure

Responsibilities

• Design and build the deployment generator.
• Create and maintain platform documentation.
• Build the bundle pipeline and profile-driven rendering for public-cloud, enterprise on-premises, and classified air-gapped targets.
• Build and maintain the cross-profile CI matrix and testing and validation framework.
• Integrate existing operators, Helm charts, and CRDs as generator inputs without modifying production infrastructure.
• Own the monitoring-stack migration and bare-metal provisioning pipeline.

Requirements

• Bachelor’s degree in computer science, mathematics, computer engineering, physics, data science, or an engineering discipline.
• At least 1 year of experience with Go and/or Python.
• At least 1 year of experience with Kubernetes or similar tooling for automating, developing, and scaling containerized applications.
• Ability to obtain and maintain a Top Secret or Top Secret SCI clearance, with the clearance required as a condition of employment.
• Preferred experience includes CI/CD pipelines, deployment automation, container image management, Pulumi or Terraform, Linux systems, air-gapped deployments, GPU infrastructure, PXE boot, cloud-init, squashfs, and bare-metal provisioning.
• Must be willing to work extended hours and weekends as needed and travel to government sites when required.
• Must satisfy the stated ITAR eligibility or authorization requirements.

Benefits

• Base salary range is $135,000–$230,000 per year, with potential stock, stock options, long-term cash awards, discretionary bonuses, and an Employee Stock Purchase Plan.
• Comprehensive medical, vision, and dental coverage; 401(k); disability and life insurance; paid parental leave; and other discounts and perks.
• Approximately 3 weeks of paid vacation, 10 or more paid holidays, and paid sick leave under company policy.
• The role may require 20% travel to government sites and extended hours or weekends as needed.