SpaceX
Operations Engineer, Applied AI (Application Software)
About this role
SpaceX seeks an Operations Engineer to serve as a technical bridge between internal teams and AI capabilities, helping design and implement large language model solutions across the company. This hybrid role combines deep technical expertise with cross-functional collaboration to develop prototypes, advise on LLM architectures, and ensure responsible AI deployment.
What you'll do
- Partner with internal teams to understand requirements and design aligned technical solutions
- Act as primary technical contact providing end-to-end support and coordination across teams
- Build prototypes and proof-of-concept applications demonstrating Spok/Grok integration
- Advise on system architecture for LLM-powered applications
- Stay current with evolving LLM technologies, best practices, and tools
What they're looking for
- Large language models and prompt engineering
- LLM evaluation methods and retrieval-augmented generation
- Software development and production-level application building
- Cross-functional team collaboration and support
- System architecture and design
- AI product development and integration
- Process improvement and innovation
- Ability to work under pressure with multiple priorities
Benefits
- Comprehensive medical, vision, and dental coverage
- 401(k) retirement plan with company match options
- Long-term incentives including company stock and stock purchase discounts
- Paid parental leave and disability insurance
- 3 weeks paid vacation plus 10+ paid holidays annually
- Company shuttle service from Seattle to Redmond
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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—what was the technical architecture and how did you handle evaluation?
- Walk us through how you've approached prompt design and optimization in a real-world scenario.