Sr. AI Engineer, Compute Infrastructure, Special Programs - Top Secret Clearance

Hawthorne · Palo Alto - 1450 · Redmond, WA · Washington, DC · USD 220,000-350,000 / year · 5+ years experience · Posted Oct 3, 2026

At a glance

As an AI Engineer, Platform Infrastructure you will build the tooling, and work with our cleared engineers at classified sites execute it.
The quality of what you build directly determines how effectively those engineers can operate in environments where they cannot call you for help.

Design and build the deployment generator.
Create and maintain platform documentation.
Build the bundle pipeline.
Implement profile-driven rendering for public cloud, enterprise on-prem, and classified air-gap targets based on profile selection.
Build and maintain the cross-profile CI matrix.
Build the testing and validation framework.
Integrate with the existing Supercompute team's operators, Helm charts, and CRDs by consuming their work as inputs to the generator without modifying production infrastructure.
Own the monitoring stack migration.
Own the bare metal provisioning pipeline.

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 working with Kubernetes or similar tooling for automating, developing and scaling containerized applications.
Must be willing to work extended hours and weekends as needed.
This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment.

Ability to obtain and maintain a Top Secret or Top Secret SCI clearance.
Experience building CI/CD pipelines and deployment automation (Buildkite, GitHub Actions, or equivalent).
Familiarity with container image management.
Experience with Infrastructure-as-Code (Pulumi or Terraform) and understanding of state management tradeoffs.
Understanding of Linux systems.
Experience building air-gapped or disconnected deployment tooling where all dependencies must be pre-staged.
Familiarity with GPU infrastructure, including NVIDIA drivers, CUDA, NCCL, InfiniBand/RoCE networking.
Experience with PXE boot, cloud-init, squashfs, or other bare metal provisioning technologies.

Long-term incentives in the form of company stock, stock options, or long-term cash awards
Discretionary bonuses
Employee Stock Purchase Plan
Comprehensive medical, vision, and dental coverage
401(k) retirement plan
Short and long-term disability insurance
Life insurance
Paid parental leave
3 weeks of paid vacation
10 or more paid holidays per year

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