AI Space Systems Software Engineer

What you'll do

• Develop multi-agent AI systems and train or fine-tune language and vision-language models for spacecraft design tasks.
• Build data, training, and knowledge-representation infrastructure to extract constraints, identify requirement issues, and generate engineering artifacts.
• Integrate models into design and simulation pipelines and collaborate with spacecraft teams to validate outputs against engineering practices.

What they ask for

• Bachelor’s/Master’s degree (or final semester) in Computer Science, ML/AI, Engineering, or a related technical field (or willing to leave existing program).
• ML/AI experience through research, personal projects, or internships; not just coursework.
• 2+ years of experience building advanced ML systems, such as deep learning, RL, planning, or LLM agent frameworks.
• Strong Python proficiency and experience with PyTorch, JAX, or TensorFlow; experience in at least one listed area, such as VLMs, RL, simulation-aware ML, or document parsing/RAG/knowledge graphs.

Nice to have

• Hands-on hardware prototyping and debugging; familiarity with spacecraft concepts, astrodynamics, or control systems.
• Experience with engineering artifacts or MBSE tools such as Capella or CORE.

Pay

$110,000 - $164,000 / per year (base salary)

Tools

Python, PyTorch, JAX, TensorFlow, LangChain, Ray, FastAPI, DVC

AI focus

Develop agentic AI, LLMs, and VLMs for spacecraft requirements analysis, generative design, simulation-aware optimization, and automated systems engineering.