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Principal Software Engineer (Platform Team)

47 minutes ago
United States
Full-time
Lead
Software Engineer
Software Development
Docker Kubernetes Machine Learning MLOps Python
Apply Now
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
View All Jobs 191

Description

  • Define and drive the long-term technical vision and architecture for SpaceX’s AI platform and security infrastructure.
  • Lead high-impact initiatives with full ownership over strategy, design, implementation, and company-wide rollout.
  • Oversee onboarding of frontier models, large-scale compute expansion, and continuous proxy system optimization for security, efficiency, logging, and control.
  • Lead adoption efforts at scale by establishing standards, mentoring senior engineers, building reusable assets, and driving AI-first workflow change.
  • Identify and execute high-leverage opportunities to turn ideas into production software, trained models, and automated systems.
  • Invent and scale risk-mitigation capabilities such as AI code review, automated PR tools, and safety systems.
  • Establish best practices and technical direction for lean, secure, and effective applied AI across the company.
  • Serve as a technical advisor and collaborator with leadership and cross-functional teams to align platform capabilities with company goals.

Requirements

  • Bachelor’s degree in computer science, computer engineering, or another engineering discipline plus 7+ years of professional experience building and scaling production platforms, or 9+ years of equivalent experience in lieu of a degree.
  • Experience designing and operating large-scale AI/ML platforms, internal developer platforms, or mission-critical infrastructure.
  • Demonstrated success architecting and scaling AI gateways, secure proxy layers, or enterprise MLOps platforms serving hundreds of users.
  • Expert-level experience with Docker and Kubernetes ecosystems, zero-trust security models, and multi-cloud/frontier-model integrations.
  • Deep expertise in MLOps, distributed compute, model lifecycle management, and highly observable, reliable systems.
  • Strong history of enabling organization-wide impact through technical leadership, mentoring, and shared platforms and standards.
  • Entrepreneurial leadership with a proven ability to identify and deliver transformative solutions.
  • Mastery of Python and broad expertise across modern languages and tooling.
  • Extensive experience with infrastructure as code, advanced observability, and building platforms that others want to use.
  • Deep passion for responsible AI, developer velocity, and reliable automation at planetary scale.
  • 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.

Interested in this position?

Apply directly on the company website

Apply Now

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