AI Space Systems Software Engineer

Software Engineer

Oligo builds vertically integrated infrastructure for automated spacecraft design and manufacturing. Our AI software stack, Zenith, turns raw mission requirements into flight-ready spacecraft using a pipeline of agentic AI systems, embedded simulation, and hardware-in-the-loop validation.

We're hiring a Software Engineer with a background in ML/AI and systems engineering to help advance core algorithms used for generative design, simulation-aware geometry creation, and multi-domain system optimization. You'll work alongside spacecraft engineers and flight software developers to build AI that doesn't just simulate reality, but designs it.

We're hiring specifically for an early-career AI Space Systems Software Engineer to help us build the next layer of intelligence in our design stack: intelligent agents that reason across spacecraft requirements, mission architectures, and system constraints. You'll contribute to the development of large-scale language and vision-language models trained on real systems engineering data, creating tools that accelerate and validate satellite design by automating model based systems engineering for the first time.

This is a hands-on, high-leverage role for early-career engineers interested in applying cutting-edge AI to real-world hardware. You'll learn spacecraft engineering, astrodynamics, and manufacturability by building models that directly influence how our satellites fly and you'll be a part of the manufacturing process to bring it to life.

• 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 (not just coursework).
• 2+ years of experience building advanced ML systems (deep learning, RL, planning, or LLM agent frameworks).
• Strong proficiency in Python, including PyTorch, JAX, or Tensor Flow, and modern tooling (e.g., Lang Chain, Ray, FastAPI, DVC, Docker).
• Experience working on one or more of the following:
• Vision-language models (e.g., transformers, CLIP, Flamingo-like systems)
• Reinforcement learning for constrained optimization or control
• Simulation-aware ML pipelines, physics-informed ML, or surrogate modeling
• Automated document parsing, retrieval-augmented generation (RAG), or knowledge graph-based systems.
• Clear written and verbal communication skills and the ability to collaborate across both software and spacecraft teams.

• Hands-on ability to prototype, build, and debug hardware systems—bonus if you've worked with microcontrollers, sensors, or test rigs.
• Willingness to work extended hours or weekends when necessary to meet mission-critical deadlines.
• Familiarity with spacecraft concepts, astrodynamics, or control systems is helpful but not required
• 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—legible, auditable, and grounded in real flight programs.

• Salary range: $110,000 - $164,000 / per year.
• This role is on-site in Hawthorne, CA

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

You may be eligible for our suite of benefits including medical, vision & dental coverage.