AI Systems Engineer (Aerospace Integrations) (Hub-Remote: DC or Philly Metro)

• Design and build multi-agent systems for NASA's Text-to-Spaceship initiative, converting natural language mission requirements into validated spacecraft component designs.
• Architect autonomous agentic workflows integrating LLMs, reinforcement learning, RAG, and uncertainty quantification, with integrations to engineering tools (CAD, FEA, CAM).
• Deploy scalable AI infrastructure on AWS and ensure AI-generated designs are physically viable, safe, and manufacturable by translating aerospace standards into programmatic guardrails.

This role directly contributes to NASA's ability to rapidly design and validate spacecraft components from natural language requirements, accelerating space exploration and enabling more efficient, reliable hardware development for missions that benefit humanity's understanding of our planet and beyond.

• 2+ years as a software engineer in aerospace, defense, or manufacturing sectors with strong understanding of hardware engineering lifecycle.
• Hands-on experience with scripting APIs of CAD/CAE tools (e.g., Autodesk Fusion 360, ANSYS, NASTRAN, SolidWorks) and familiarity with aerospace-grade materials and GD&T.
• Real-world Python experience; secondary TypeScript proficiency a plus. Strong grasp of API design, containerization, and cloud infrastructure (AWS).
• Deep understanding of LLM fundamentals, structured output, prompt engineering, and evaluation strategies for multi-step autonomous systems.

Competitive medical, dental, vision; life insurance; short & long term disability; 401(k) with 3% employer contribution; HSA with company contribution; flexible spending accounts; company-paid parental leave; flexible work schedules; paid employee assistance program; 6 paid floating holidays; 4 weeks + 1 day paid vacation; 40 hours paid sick leave; cell phone stipend. Salary: $156,500 – $189,000.