AI Space Systems Software Engineer

The role

You will build multi-agent AI systems to simulate, evaluate, and redesign spacecraft configurations. You will develop LLMs and VLMs to parse technical documents and automate model based systems engineering.

What you will do

• Construct multi-agent AI systems that simulate, evaluate, decompose, and iteratively redesign spacecraft configurations.
• Contribute to infrastructure for automated, high-context model training using flight data and simulations.
• Build and fine-tune LLMs and VLMs to parse technical documents into formal constraints and schemas.
• Develop models that detect contradictions or gaps in requirement sets.
• Help construct a multimodal training dataset from text, diagrams, and system specs.
• Design a formal representation of system architecture knowledge.
• Contribute to automated generation of interface tables, block diagrams, FMEAs, and verification specs.
• Integrate models into Zenith's payload ingestion and system decomposition pipelines.
• Collaborate with spacecraft engineers, systems architects, and test leads.
• Optionally support go-to-market initiatives including demo preparation and customer onboarding automation.

Required qualifications

• Bachelor’s/Masters degree (or final semester) in Computer Science, ML/AI, Engineering, or a related technical field (or willing to leave existing program)
• Experience in ML/AI through research, personal projects, or internships
• 2+ years of experience building advanced ML systems (deep learning, RL, planning, or LLM agent frameworks)
• Strong proficiency in Python, including PyTorch, JAX, or TensorFlow, and modern tooling (e.g., LangChain, Ray, FastAPI, DVC, Docker)
• Experience working on one or more of the following: Vision-language models, Reinforcement learning for constrained optimization or control, Simulation-aware ML pipelines, physics-informed ML, or surro
• Clear written and verbal communication skills

Nice to have

• Hands-on ability to prototype, build, and debug hardware systems
• Familiarity with spacecraft concepts, astrodynamics, or control systems
• Experience working with structured engineering artifacts (ICDs, requirements tables, CAD trees, verification matrices)
• Background in MBSE or spacecraft architecture design tools (e.g., Capella, CORE, or internal tooling)
• Interest in aerospace design processes including thermal, structural, or power subsystem allocation
• Experience with project teams, technical clubs, or cross-disciplinary engineering efforts focused on space or robotics
• A passion for building AI that engineers can trust

Benefits

• Equity
• Unlimited PTO
• Medical (Platinum coverage)
• Vision Insurance
• Dental Insurance
• Catering provided on-site everyday

About the company

Oligo is building a manufacturing-in-the-loop foundation model to automate spacecraft design and production worldwide. Their team consists of ex-MIT, Harvard, and NASA JPL members.