Application Software Engineer, Applied AI - SpaceX

Overview

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In this Applied AI role, you will design, evaluate, deploy, and integrate AI systems that power SpaceX products and infrastructure. You own the end-to-end lifecycle of AI capabilities from prototype to production, collaborating with Product, Engineering, and Operations teams. You’ll work on AI-powered applications that accelerate production, flight, and Starlink operations, while ensuring reliability and safety. This role offers meaningful impact on a mission-driven team shaping aerospace technology.

Compensation / Benefits
• stock or long-term incentives
• discretionary bonuses and stock purchase plan
• comprehensive medical, vision, dental
• 401(k) retirement plan
• disability and life insurance
• paid parental leave and other discounts/perks | 3 weeks paid vacation | 10+ paid holidays per year | shuttle service Seattle–Redmond

Responsibilities
• Develop reliable software solutions across SpaceX, including AI-powered applications
• Create new applications using large language models, agentic systems, and other AI capabilities
• Own full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, iteration
• Deep dive into user problems to uncover high-leverage AI opportunities
• Architect production systems for agentic workflows, multi-agent orchestration, advanced retrieval, and long-context apps
• Build and maintain evaluation frameworks and observability for AI quality, safety, latency, and cost
• Stay at the frontier of LLM techniques and integrate best practices into production systems across programs

Key requirements
• Bachelor's degree in computer science, engineering, math, or scientific discipline or 2+ years of experience
• 1+ years of experience in full stack development
• Hands-on experience evaluating, deploying, and integrating AI models into production systems
• Proven track record delivering end-to-end AI products or features
• Strong software engineering foundation for production systems and AI-powered architectures
• Programming experience in Python, xklufbp C#.NET, Go, Scala, Java, or similar
• Experience with Docker, Kubernetes, and modern data streaming (Kafka or similar)
• Frontend experience (Angular, React, or similar) and database experience (PostgreSQL, SQL Server, or similar)
• problem-solving mindset
• collaborative and respectful teamwork
• ability to work under pressure and manage multiple priorities
• LLM techniques: agentic systems, tool-use, multi-agent orchestration, advanced retrieval, fine-tuning
• AI evaluation and observability: LLM-as-judge, eval harnesses, A/B testing, red-teaming, tracing, safety metrics, cost tracking
• production AI architecture focusing on reliability and safe deployment