AI Space Systems Software Engineer
Oligo Space1 year ago
Hawthorne, CA, USAMid Level
Base Salary
$110k - $164k/yr
Responsibilities
- Construct multi-agent AI systems that simulate, evaluate, decompose, and redesign spacecraft configurations using embedded physics models.
- Build infrastructure for high-context model training using flight data, simulations, and test results.
- Build and fine-tune LLMs and VLMs to parse technical documents into subsystem constraints and architecture schemas.
- Develop models that identify contradictions, inconsistencies, and gaps in requirements and suggest valid configurations or mitigations.
- Create multimodal training datasets from text, diagrams, system specifications, and configuration trees.
- Design formal representations of system architecture knowledge using schemas and graph-based topologies for supervision and traceability.
- Automate generation of interface tables, block diagrams, FMEAs, and verification specifications.
- Integrate models into Zenith’s payload-ingestion and system-decomposition pipelines for downstream design, simulation, and manufacturability agents.
- Collaborate with spacecraft engineers, systems architects, and test leads to ensure model outputs reflect real engineering practices and testable subsystem boundaries.
- Optionally support go-to-market work such as demos, customer-onboarding automation, and business-development tooling.
- Work with hardware engineers on systems tested in thermal chambers, vibration tables, and orbital missions.
Requirements
- Bachelor’s or master’s degree, or final-semester status, in computer science, ML/AI, engineering, or a related technical field.
- At least two years of experience building advanced ML systems such as deep learning, reinforcement learning, planning, or LLM agent frameworks.
- Experience with ML/AI through research, personal projects, or internships beyond coursework.
- Strong Python proficiency and experience with modern ML and software tooling such as PyTorch, JAX, TensorFlow, LangChain, Ray, FastAPI, DVC, or Docker.
- Experience with vision-language models, constrained-optimization or control reinforcement learning, simulation-aware or physics-informed ML, surrogate modeling, document parsing, or knowledge-graph systems.
- Clear written and verbal communication skills and ability to collaborate across software and spacecraft teams.
- Hardware prototyping and debugging experience, including microcontrollers, sensors, or test rigs, is preferred.
- Familiarity with spacecraft concepts, astrodynamics, control systems, structured engineering artifacts, MBSE, spacecraft architecture tools, or aerospace subsystem allocation is preferred.
- Experience with Capella, CORE, internal tooling, technical clubs, project teams, or cross-disciplinary space or robotics efforts is preferred.
- Willingness to work extended hours or weekends when necessary for mission-critical deadlines is preferred.
Benefits
- Equity
- Unlimited PTO
- Medical, vision, and dental insurance with platinum medical coverage
- Catering provided on-site every day
- On-site role in Hawthorne, California
Categories
About Oligo Space
Oligo Space builds an AI-driven manufacturing-in-the-loop platform and vertically integrated services that automate spacecraft design, production, launch, and operations for payload owners. The company also offers payload hosting, with flight opportunities advertised for June 2026 and June 2027. Founded in 2024 and headquartered in Hawthorne, California, Oligo develops the Zenith software stack to turn mission requirements into flight-ready spacecraft using agentic AI, simulation, and hardware-in-the-loop validation.