Sr. AI Engineer, Platform Infrastructure, Special Programs
$220,000–$350,000 year
On-site · Palo Alto, California, United States or Washington, District of Columbia, United States
Job Summary
As an AI Engineer, Platform Infrastructure you will design and build deployment tooling for a team of cleared engineers working at classified sites, ensuring deterministic, well-tested, foolproof tooling that supports operation in air-gapped and public cloud environments. Responsibilities include designing the deployment generator, maintaining platform documentation and the bundle pipeline, implementing profile-driven rendering across targets, building a cross-profile CI matrix, validating tooling, integrating with the Supercompute team’s inputs, and owning the monitoring stack migration. Required skills include a Bachelor's degree in a related field, 5+ years of Go/Python experience, 5+ years with Kubernetes or similar tooling, and the ability to obtain Top Secret/Top Secret SCI clearance; additional preferred capabilities cover CI/CD pipelines, container image management, Infrastructure-as-Code (Pulumi or Terraform), Linux system understanding, air-gapped deployment tooling, and GPU-related infrastructure knowledge.
Required Qualifications
- Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or engineering discipline
- 5+ years of experience in Go Lang and/or Python
- 5+ years of experience with Kubernetes or similar tooling for automating, developing and scaling containerized applications
- Willingness to obtain and maintain a Top Secret or Top Secret SCI clearance
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