6 months ago
Starbase, TX, USASenior / Staff+
H1B sponsor
Responsibilities
- 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 successful company-wide rollout.
- Oversee onboarding of frontier models, massive compute scaling, and continuous optimization of proxy systems for security, efficiency, logging, and control.
- Lead adoption efforts at scale — establishing standards, mentoring senior engineers, building reusable assets, and driving cultural change toward AI-first workflows.
- Proactively identify and execute on the highest-leverage opportunities to turn ideas into production software, trained models, and automated systems.
- Invent and scale advanced risk-mitigation capabilities that protect and accelerate the business.
- Establish best practices and technical direction for lean, secure, and maximally effective applied AI across the company.
- Serve as a key technical advisor and collaborator with leadership and cross-functional teams.
Requirements
- Bachelor’s degree in computer science, computer engineering, or other engineering discipline and 7+ years of professional experience building and scaling production platforms; OR 9+ years of professional experience in lieu of a degree.
- Experience designing and operating large-scale AI/ML platforms, internal developer platforms, or mission-critical infrastructure.
Tech Stack
Categories
Data EngineeringDevOps
About SpaceX
SpaceX designs, manufactures, and launches orbital rockets and spacecraft, and operates Starlink, a global satellite internet network for consumers, businesses, and governments. Its revenue comes from commercial and government launch services (Falcon 9/Falcon Heavy, Dragon cargo and crew to the ISS) and subscription broadband with Starlink hardware and service. Founded in 2002 and headquartered in Hawthorne, California, the privately held company serves NASA and commercial satellite operators, building most systems in-house.
