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 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 rapidly convert problems and ideas into tested software, deployed applications, and trained models.
  • Develop and scale tools that mitigate business risk, such as AI-powered code review, PR automation, and safety guardrails.
  • Define best practices for lean, effective, and secure applied AI that maximize the conversion of 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, plus 5+ years of professional experience building production software; or 7+ years of production software 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 simple, scalable AI-powered outcomes.
  • Must meet ITAR requirements as a U.S. citizen or national, lawful permanent resident, refugee, asylee, or otherwise be eligible for required U.S. Department of State authorizations.

Benefits

  • Equal Opportunity Employer status with merit-based hiring.
  • Reasonable accommodation support for the application and interview process.
  • Access to SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities upon request.

Interested in this position?

Apply directly on the company website

Apply Now

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