Jobs · Engineering · California

Sr. AI Engineer, Platform Infrastructure, Special Programs

SpaceX · Palo Alto, CA · 1 wk ago
On-siteEngineering$220k–$350k/yrFull-time

SpaceX is actively developing technologies to enable human life on Mars, with a focus on exploring the stars and advancing space exploration.

About the role

As an AI Engineer in Platform Infrastructure, you will build tooling and collaborate with cleared engineers at classified sites to execute it. Your work will directly impact the effectiveness of engineers operating in environments where they cannot seek immediate assistance. The tooling you develop must be deterministic, complete, well-tested, and foolproof.

Responsibilities

  • 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.

Requirements

  • Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or an 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.
  • 20% travel may be required to government sites.
  • Must be a U.S. citizen or national, U.S. lawful permanent resident (green card holder), Refugee under 8 U.S.C.1157, Asylee under 8 U.S.C.1158, or eligible to obtain required authorizations from the U.S. Department of State.
  • This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment. While the clearance may not be immediately necessary upon hire, you are encouraged to initiate the application process promptly. Your ability to secure the clearance is essential for fulfilling key responsibilities.

Preferred Skills and Experience

  • 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.

Pay

Pay range for Sr. AI Engineer: $220,000 - $350,000 per year. Your actual level and base salary will be determined based on job-related knowledge, skills, education, and experience.

Benefits

  • Comprehensive medical, vision, and dental coverage.
  • 401(k) retirement plan.
  • Short and long-term disability insurance.
  • Life insurance.
  • Paid parental leave.
  • Employee Stock Purchase Plan with stock discounts.
  • Long-term incentives in the form of company stock, stock options, or long-term cash awards.
  • Potential discretionary bonuses.
  • 3 weeks of paid vacation.
  • 10 or more paid holidays per year.
  • Paid sick leave accrual pursuant to Company policy.
  • Various discounts and perks.

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