SpaceX
Operations Engineer, Applied AI (Application Software)
About this role
SpaceX seeks an Operations Engineer to bridge technical teams and AI capabilities, helping internal groups design and implement large language model solutions. You'll prototype AI-powered applications, advise on system architecture, and serve as the main technical contact supporting cross-functional teams from exploration through deployment.
What you'll do
- Partner with internal teams to understand needs and design technical solutions aligned with their objectives
- Build prototypes and proof-of-concept applications demonstrating LLM integration approaches
- Advise on system-on-system architecture for advanced LLM-powered applications
- Coordinate across Sales, Product, and Engineering teams to ensure successful end-to-end implementation
- Stay current with evolving LLM technologies, best practices, and development tools
- Lead evaluations and testing methodologies for AI system deployments
What they're looking for
- Large Language Models (LLMs) and prompt engineering
- Production application development and deployment
- System architecture and design
- Cross-functional collaboration and communication
- AI product design and integration
- Python or other production-level programming languages
- LLM evaluation methods and agent systems
- Process improvement and enterprise AI implementation
Benefits
- Comprehensive medical, vision, and dental coverage
- 401(k) retirement plan
- 3 weeks paid vacation and 10+ paid holidays annually
- Employee Stock Purchase Plan with discounts
- Short and long-term disability and life insurance
- Paid parental leave and various perks
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SpaceX
SpaceX develops advanced spacecraft and satellite systems, including the Starshield government satellite constellation and Starfall re-entry cargo capsule for global delivery. The company is hiring engineers in avionics integration, software test automation, mechanical design, and hardware reliability to validate flight-critical systems and ensure mission success.
- Website
- spacex.com
Likely interview questions
- Describe a production LLM application you've shipped and the challenges you overcame during integration.
- How would you approach supporting a team with limited AI expertise who wants to implement an LLM solution?