SpaceX

SpaceX

SpaceX designs, manufactures, and launches advanced rockets and spacecraft with the aim of revolutionizing space technology and enabling human life on other planets.

Aerospace & Defense
10K-50K
Founded 2002

Description

  • Lead the design, architecture, and implementation of secure, scalable AI platforms and proxy systems used company-wide.
  • Own complex platform initiatives end to end, including technical strategy, implementation, testing, deployment, and long-term evolution.
  • Drive onboarding of new frontier models, expansion of compute resources, and optimization of proxy systems for performance, security, logging, and control.
  • Champion AI adoption across SpaceX by mentoring engineers, communicating value, building shared products, prompts, skills, and infrastructure, and providing hands-on support.
  • Identify high-value opportunities and deliver solutions that help users turn problems and ideas into tested software, deployed applications, and trained models on managed compute.
  • Develop and scale tools that mitigate business risk, including AI-powered code review, PR automation, and safety guardrails.
  • Define best practices for lean, effective, and secure applied AI that converts engineering expertise into automation and reliable data systems.
  • Collaborate with and influence cross-functional stakeholders, including ML researchers, security, and operations teams.

Requirements

  • Bachelor’s degree in computer science, computer engineering, or another engineering discipline with 5+ years of professional experience building production software, or 7+ years of professional experience in lieu of a degree.
  • Experience developing and operating production platforms, such as AI/ML infrastructure, developer platforms, or large-scale backend systems.
  • Proven success building and scaling internal AI gateways, secure proxy systems, or MLOps platforms in a fast-paced environment.
  • Deep hands-on experience with Docker, Kubernetes, security architecture, and integrations across multiple cloud and frontier model providers.
  • Strong background in model onboarding, compute orchestration, observability, and infrastructure for high-volume AI usage.
  • Demonstrated ability to enable and mentor others through tools, documentation, training, and direct partnership.
  • Entrepreneurial track record of identifying opportunities and delivering outsized impact.
  • Proficiency in Python and strong experience with additional languages such as Go, Java, TypeScript, or Rust.
  • Experience with infrastructure-as-code, CI/CD, and highly reliable distributed systems.
  • Passion for AI risk mitigation, developer productivity, and turning complex engineering challenges into scalable AI-powered outcomes.
  • Must meet U.S. ITAR eligibility requirements as a U.S. citizen/national, lawful permanent resident, refugee, asylee, or otherwise eligible for required U.S. Department of State authorizations.

Benefits

  • $160,000 to $225,000 per year base salary range.
  • Potential long-term incentives, including company stock or long-term cash awards.
  • Potential discretionary bonuses.
  • Employee Stock Purchase Plan with the ability to buy additional stock at a discount.
  • Comprehensive medical, vision, and dental coverage.
  • 401(k) retirement plan, plus short- and long-term disability insurance and life insurance.
  • Paid parental leave.
  • 3 weeks of paid vacation, 10 or more paid holidays per year, and paid sick leave under company policy.

Interested in this position?

Apply directly on the company website

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