---
title: 'AI Space Systems Software Engineer at Oligo Space'
canonical: 'https://feeny.ai/job/ai-space-systems-software-engineer-oligo-space-hawthorne-xvk9sky22b1r'
type: 'job'
last_seen: '2026-11-05'
---

# AI Space Systems Software Engineer at Oligo Space

- **Company:** Oligo Space
- **Location:** Hawthorne, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-08-03
- **Last confirmed live:** 2026-11-05
- **Apply:** https://jobs.ashbyhq.com/oligo/1eda6c7f-694c-497e-a648-f9f388130cbc

## Job description

Oligo is building a manufacturing-in-the-loop foundation model to automate spacecraft design and production worldwide. Our approach allows customers to focus entirely on their own technology and mission objectives, while we handle everything, from design and manufacturing to launch and operations. Leveraging cutting edge AI-driven generative design and automated manufacturing, our ex-MIT, Harvard, and NASA JPL team work to create the most advanced payload-specific spacecraft at scale in weeks over months.

With world‑class advisors on our board, and fresh funding from top investors like Lux Capital, we’re always on the lookout for exceptional builders, fast learners, and ambitious engineers. Whether your passion lies in spacecraft systems, avionics, ML/AI, or advanced manufacturing, you’ll be collaborating across disciplines on real missions that fly, perform in orbit, and scale internationally.

We pair world-class AI/ML talent with top-tier satellite engineers under one roof to reimagine how space systems are built, starting from first principles. No bureaucracy. No legacy thinking.

If you think you’re a fit, we are extremely excited to meet you.

## Role Overview

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.

## What You'll Do

- Construct multi-agent AI systems that simulate, evaluate, decompose, and iteratively redesign spacecraft configurations using embedded physics models.
- Contribute to our infrastructure for automated, high-context model training using flight data, past simulations, and test results—enabling real-time design intelligence.
- Build and fine-tune LLMs and VLMs capable of parsing technical documents (RFPs, datasheets, ICDs, requirements trees) into formal subsystem constraints and architectural schemas.
- Develop models that detect contradictions, inconsistencies, or gaps in requirement sets and suggest valid configurations or mitigations based on historical precedent.
- Help construct a multimodal training dataset by collecting, aligning, and annotating text, diagrams, system specs, and config trees from past and current spacecraft programs.
- Design a formal representation of system architecture knowledge (e.g., JSON schemas, graph-based topologies) for model supervision and traceability.
- Contribute to automated generation of interface tables, block diagrams, FMEAs, and verification specs from unstructured or customer-supplied inputs.
- Integrate your models into Zenith’s payload ingestion and system decomposition pipelines, ensuring outputs flow into downstream design, simulation, and manufacturability agents.
- Collaborate with spacecraft engineers, systems architects, and test leads to ensure model outputs match real-world engineering practices and testable subsystem boundaries.
- Optionally support go-to-market initiatives including demo preparation, customer onboarding automation, and BD tooling for international engagements.
- Collaborate daily with engineers building the real hardware—what you code will be tested in thermal chambers, vibration tables, and flown on orbit.

## What You'll Bring

## 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, 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.

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.

## About Oligo Space

## Company Overview
- **One-liner**: Oligo Space is building a manufacturing-in-the-loop foundation model to automate spacecraft design and production, delivering payload‑centered, flight‑ready platforms in under eight months.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Hawthorne, California, United States (also offices in Boston, MA and Cambridge, MA, with an additional location in Israel)
- **Founded**: 2022 (some sources list 2024; the company’s first grant was in February 2024)
- **Founders**: Jacob Rodriguez (Founder & CEO)

## Core Business
- **Primary industries**: Space Research and Technology, Aerospace, Artificial Intelligence
- **Target customers**: Payload developers, mission operators, government agencies, and commercial space companies (B2B / Enterprise)
- **Mission**: “Build the infrastructure that will power humanity’s expansion through the Solar System” by redefining spacecraft design as a space environmental engineering problem and automating the entire design‑to‑manufacturing pipeline.

## Products & Services
- **Zenith (Generative Design Engine)**: An AI‑powered software platform that takes mission and payload requirements as input and outputs an optimized spacecraft design, including geometry, constraints, and physics‑based optimization. Type: SaaS / API.
- **Epoch (Mission Operations Platform)**: AI/ML models for anomaly detection, generative design, and mission operations across the spacecraft lifecycle. Type: SaaS / API.
- **Payload Hosting Services**: Shared and dedicated ESPA‑class spacecraft platforms delivered in less than 8 months, with availability for June 2026 and June 2027 launches. Type: Service / Hardware.
- **Manufacturing‑in‑the‑Loop Foundation Model**: Proprietary AI that captures aerospace expertise and automates production instructions, enabling quotes within one business day. Type: Technology / Platform.

## Market Standing
- **Valuation**: Not publicly available (total funding is $100K)
- **Key Metric (Funding)**: Total funding of $100,000 across two rounds – a $100K grant (Feb 2024) from Massachusetts Technology Collaborative, and a Seed round (Jun 2025) led by Kakao Ventures (3 investors).
- **Notable Investors/Partners**: Kakao Ventures (lead investor), Massachusetts Technology Collaborative (grant provider); partnerships include Melagen Labs for in‑space demonstration (Spacedock mission, Q2 2026).
- **Growth Signals**: 325% year‑over‑year employee growth (from 5 to 18 people); 1,017 LinkedIn followers (+155% YoY); multiple open roles across engineering, software, and leadership; first in‑space demonstration planned for Q2 2026.

## Competitive Advantages
- **AI‑First, Manufacturing‑in‑the‑Loop**: Unlike traditional aerospace companies, Oligo uses a foundation model that learns from manufacturing feedback, enabling rapid iteration and automated design.
- **Payload‑Centric Approach**: The entire spacecraft is optimized for the payload, shifting complexity from the satellite bus to the mission itself.
- **Speed**: Quotation in 1 business day and full design in minutes; integrated, launched, and mission‑ready in under 8 months.
- **Modular First‑Principles System**: Captures decades of aerospace expertise in a modular, physics‑based system that can be applied across the solar system.

## Strategic Focus
- **Scaling the Foundation Model**: Expanding the AI model to handle more mission types and environments.
- **First In‑Space Demonstration**: The Spacedock mission with Melagen Labs in Q2 2026 is a critical milestone to validate the approach.
- **Talent Acquisition**: Actively hiring across all disciplines (ML/AI, avionics, mechanical, flight software, ATLO, business engineering) to support rapid growth.
- **Global Expansion**: Offices in the US (Hawthorne, Boston, Cambridge) and Israel, with plans to serve customers worldwide.

## Why Work Here
- **Culture**: “Exceptional builders, fast learners, and ambitious engineers” – the team comes from top institutions (MIT, NASA JPL, The Aerospace Corporation, Rocket Lab) and values hands‑on prototyping and rapid iteration.
- **Work Policy**: Hybrid workspace – employees engage in a combination of remote and on‑site work; typical on‑site presence in Hawthorne, CA or Israel offices.
- **Perks & Environment**: Cutting‑edge problems at the intersection of AI and space hardware; opportunity to work on real missions from design through launch; flat structure with high ownership.
- **Engineering Culture**: Emphasis on deep learning, simulation, and real‑world space systems; space experience is a plus but not required – the company values strong generalist engineering skills.

## Sources
1. [Oligo Space Website](https://www.oligospace.com)
2. [Oligo Careers Page (Ashby)](https://jobs.ashbyhq.com/oligo)
3. [Built In – Oligo Company Profile](https://builtin.com/company/oligo)
4. [LinkedIn – Oligo Space](https://www.linkedin.com/company/oligo-space)
5. [Oligo Space Contact Page](https://www.oligospace.com/contact)

## Other roles at Oligo Space

- [Senior AI Engineer](https://feeny.ai/job/senior-ai-engineer-oligo-space-hawthorne-f42186p5qzm7) — Hawthorne, CA
- [Chief Spacecraft Engineer](https://feeny.ai/job/chief-spacecraft-engineer-oligo-space-hawthorne-9dcyz42nz5xa) — Hawthorne, CA
- [Senior Generative Spacecraft Engineer - all fields](https://feeny.ai/job/senior-generative-spacecraft-engineer-all-fields-oligo-space-hawthorne-f9n3febqts9a) — Hawthorne, CA