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AI Engineer, Platform Infrastructure, Special Programs

Palo Alto

SpringCube

Full-time - Senior Engineer

Automotive, Manufacturing & Aerospace

Posted 4 weeks ago

$200,000 - $250,000

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Job Description

This job was selected by the SpringCube team to help AI, Data and Cloud Engineers discover relevant San Francisco Bay Area employers. Sign up to view the full employer details and apply directly with the hiring company.

Company Overview

A leading aerospace and space technology organization focused on developing advanced systems and technologies to expand human activity beyond Earth. The company works across launch systems, spacecraft, satellite technology, and related engineering platforms, with a long-term goal of enabling human life beyond Earth.

Responsibilities

  • Design and build a deployment generator for platform infrastructure.
  • Create and maintain comprehensive platform documentation.
  • Build and maintain the bundle pipeline.
  • Implement profile-driven rendering for public cloud, enterprise on-premises, and classified air-gapped environments based on selected deployment profiles.
  • Build and maintain a cross-profile continuous integration (CI) matrix.
  • Develop testing and validation frameworks to ensure deployment tooling is reliable and complete.
  • Integrate with existing Supercompute 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.
  • Own and maintain the bare-metal provisioning pipeline.

Qualifications

  • Bachelor’s degree in computer science, mathematics, computer engineering, physics, data science, or another engineering discipline.
  • 1+ years of experience with Go and/or Python.
  • 1+ years of experience working with Kubernetes or similar technologies for automating, developing, and scaling 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 Buildkite, GitHub Actions, or equivalent technologies.
  • Familiarity with container image management.
  • Experience with Infrastructure-as-Code tools such as Pulumi or Terraform, including an understanding of state management tradeoffs.
  • Strong understanding of Linux systems.
  • Experience developing deployment tooling for air-gapped or disconnected environments where all 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.
  • Willingness to work extended hours and weekends when required.
  • Willingness to travel to government sites, with approximately 20% travel potentially required.
  • Ability to successfully obtain and maintain a Top Secret security clearance as a condition of employment.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals globally.

  1. No Endorsement: SpringCube does not endorse or recommend any company or position listed.
  2. No Client Relationship: Listing a position does not mean SpringCube has a client, partnership, or employment relationship with the hiring company.
  3. To Apply: Use the Apply button to apply directly through the relevant hiring company’s application process.
  4. No Liability: SpringCube is not responsible for the hiring process, employment terms, recruitment decisions, or outcomes associated with any listed position.
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