Job details
- Location
- Washington, DC
- Work type
- Onsite
- Compensation
- $125,000 - $220,000/yr
- Clearance
- Required
- Posted
- 2 weeks ago
- Apply on
- job-boards.greenhouse.io
About this role
SpaceX is hiring an AI Engineer for Special Programs Supercomputing. The role builds deterministic, well-tested deployment tooling and documentation for cleared engineers working at classified sites, including deployment pipelines, validation frameworks, integrations, and monitoring migration.
What you'll do:
- 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
What they're looking for:
- Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or engineering discipline
- 1+ years of experience in Go Lang and/or Python
- 1+ years of experience working with Kubernetes or similar tooling for automating, developing and scaling containerized applications
- This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment
- To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State
- 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
Benefits:
- You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards
- Potential discretionary bonuses
- The ability to purchase additional stock at a discount through an Employee Stock Purchase Plan
- Comprehensive medical, vision, and dental coverage
- Access to a 401(k) retirement plan
- Short and long-term disability insurance
- Life insurance
- Paid parental leave
- Various other discounts and perks
- You may also accrue 3 weeks of paid vacation
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