The opportunity
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
What you'll do
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/infrastructure, and providing hands-on support
Act as an entrepreneurial force to identify high-value opportunities and: deliver solutions that allow users to rapidly convert problems and ideas into tested software, deployed applications, and trained models on managed, reliable compute
Develop and scale tools that mitigate business risk, such as advanced: AI-powered code review, PR automation, and safety guardrails
What they're looking for
- Define best practices for lean, effective, and secure applied AI that: maximizes conversion of engineering expertise into automation and reliable data systems
- Collaborate with and influence cross-functional stakeholders, including ML: researchers, security, and operations teams
- Bachelor’s degree in computer science, computer engineering, or other: engineering discipline and 5+ years of professional experience building production software; OR 7+ years of professional experience building production software in lieu of a degree
- Experience developing and operating production platforms (AI/ML: infrastructure, developer platforms, or large-scale backend systems)
