AI Engineer, Platform Infrastructure, Special Programs

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Company Overview

A leading aerospace and space technology organization focused on developing advanced systems and infrastructure to support the future of space exploration and human spaceflight. The organization develops sophisticated technologies across launch systems, spacecraft, satellite infrastructure, and related engineering platforms.

Responsibilities

• Design and build deployment generation tooling for complex infrastructure environments.
• Create and maintain comprehensive platform documentation.
• Build and maintain automated bundle pipelines.
• Implement profile-driven rendering for public cloud, enterprise on-premises, and classified air-gapped environments based on deployment profiles.
• Build and maintain a cross-profile continuous integration (CI) matrix.
• Develop testing and validation frameworks to ensure deployment tooling is deterministic, reliable, and well-tested.
• Integrate with existing compute infrastructure by consuming operators, Helm charts, and Custom Resource Definitions (CRDs) as inputs to the deployment generator without modifying production infrastructure.
• Lead the migration of the monitoring stack.
• Develop and maintain bare-metal provisioning pipelines.

Qualifications

• Bachelor’s degree in computer science, mathematics, computer engineering, physics, data science, or another relevant engineering discipline.
• 1+ years of professional experience with Go and/or Python.
• 1+ years of experience working with Kubernetes or similar technologies used to automate, develop, and scale containerized applications.
• Ability to obtain and maintain a Top Secret or Top Secret SCI security clearance.
• Experience building CI/CD pipelines and deployment automation using tools such as Buildkite, GitHub Actions, or equivalent platforms.
• Familiarity with container image management.
• Experience with Infrastructure-as-Code tools such as Pulumi or Terraform, including an understanding of infrastructure state-management tradeoffs.
• Strong understanding of Linux systems.
• Experience developing deployment tooling for air-gapped or disconnected environments where dependencies must be pre-staged.
• Familiarity with GPU infrastructure, including NVIDIA drivers, CUDA, NCCL, and InfiniBand/RoCE networking.
• Experience with PXE boot, cloud-init, squashfs, or other bare-metal provisioning technologies.
• Strong ability to build reliable, deterministic, and maintainable infrastructure tooling.

Additional Requirements

• Must be willing to work extended hours and weekends when required.
• Up to 20% travel to government sites may be required.
• The position requires successfully obtaining and maintaining a Top Secret security clearance as a condition of employment.
• The required security clearance may not be immediately necessary upon hiring, but candidates may be expected to initiate the clearance process promptly.
• Employment responsibilities may depend on successfully obtaining and maintaining the required security clearance.

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