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.

Minimum 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 (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 TensorFlow, and modern tooling (e.g., LangChain, 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.

Preferred Skills and Experience

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, 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.

Pay Range

Salary range: $110,000 - $164,000 / per year.

This role is on-site in Hawthorne, CA

Benefits

Equity

Unlimited PTO

Medical (Platinum coverage), Vision, & Dental Insurance

Catering provided on-site everyday.

Additional Information

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