SpaceX
Application Software Engineer, Applied AI
About this role
SpaceX seeks an Application Software Engineer to design and deploy AI systems—including large language models and agentic systems—that power mission-critical applications across launch vehicle production, flight operations, and Starlink. You'll own the full lifecycle of AI capabilities from prototype to production, working cross-functionally to solve high-impact problems in a fast-paced aerospace environment.
What you'll do
- Develop and deploy AI-powered applications that accelerate SpaceX production, flight, and Starlink operations
- Own end-to-end lifecycle of AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to production
- Design production architectures for agentic workflows, tool-use, multi-agent orchestration, and advanced retrieval systems with emphasis on reliability and safety
- Build evaluation frameworks (LLM-as-judge, automated benchmarks) and production observability systems for AI quality, safety, latency, and cost
- Uncover high-leverage AI opportunities by deeply understanding user problems and delivering efficient, production-grade solutions
- Stay current with emerging LLM techniques and rapidly incorporate best practices into production systems
What they're looking for
- LLM deployment and integration in production systems
- Agentic systems, tool-use, function calling, and multi-agent orchestration
- Python, C#.NET, Go, Scala, Java, or similar languages
- Docker, Kubernetes, and data streaming (Kafka or similar)
- Frontend frameworks (Angular, React) and databases (PostgreSQL, SQL Server)
- AI evaluation frameworks and production monitoring/observability
- Full-stack development and system architecture design
- Fine-tuning, RAG, and structured outputs
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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
- Walk us through a production AI system you deployed—what were the biggest challenges in moving from prototype to production?
- How have you designed and implemented evaluation frameworks for LLM applications? What metrics did you prioritize?