Jobs in Alexandria, VA

About the role

As an AI Systems Engineer, you will design and build the multi-agent systems that power NASA's Text-to-Spaceship initiative, an AI pipeline that converts natural language mission requirements into validated spacecraft component designs. You won't just be "calling an API"; you will be architecting and building autonomous agentic workflows that orchestrate heterogeneous AI techniques (LLMs, reinforcement learning, RAG, uncertainty quantification), building integrations with engineering tools (CAD, FEA, CAM), and deploying scalable infrastructure on AWS. Your goal is to turn science objectives into manufacturable hardware designs through reliable, AI-driven automation. As our AI Domain Expert, you will bridge the gap between generative AI and physical reality. You will be responsible for ensuring that our text-to-spaceship pipeline generates physically viable, safe, and manufacturable spacecraft components. You will translate complex physics, NASA standards, and aerospace load cases into programmatic guardrails for our multi-agent systems, ensuring our AI generates structurally sound flight hardware.

What you'll bring

• You are curious about the world, are constantly learning, driven to lead (formally or informally), and have a strong work ethic.
• You're interested in solving impactful problems in science, medicine, and other projects that have a societal good.
• You can work independently or with a team, prioritize your projects, and be effective without micromanagement.
• You'll care about writing.
• Our team is remote and written communication is essential.
• In addition to caring about a well-crafted email and a succinct conference abstract, you understand that good writing is good design and engineering.
• Cloud & Infrastructure
• Mechanical & Aerospace Engineering Fundamentals
• 2+ years working as a software engineer within the aerospace, defense, space, or similar manufacturing sectors, with a strong understanding of the hardware engineering lifecycle and launch and spaceflight environment.
• Hands-on experience with the scripting APIs of industry-standard engineering tools (e.g., Python APIs for Autodesk Fusion 360, ANSYS, NASTRAN, or SolidWorks).
• Familiarity with aerospace-grade materials (titanium, aluminum alloys, carbon fiber composites) and how their properties dictate design limits.
• Ability to interpret and programmatically apply GD&T (Geometric Dimensioning and Tolerancing) and NASA/aerospace engineering standards.

Benefits

Locations