{"id":851128,"url":"https://alion.io/job/oligospace-ai-space-systems-software-engineer","title":"AI Space Systems Software Engineer","company":{"id":680264,"name":"Oligo Space","domain":"oligospace.com","url":"https://alion.io/company/oligospace","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hawthorne, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110000,"max":164000,"currency":"USD","period":"year","gross":null,"usd_annual":164000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CLIP","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"JAX","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Ray","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TensorFlow","optional":false},{"name":"MBSE","optional":true}],"status":"live","first_seen_at":"2025-08-03T09:22:56Z","employer_posted_date":"2025-08-03","last_verified_at":"2026-11-05T00:34:26Z","board_verified":true,"closed_at":null,"days_open":458,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":458},"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.\nWith 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. \nWe 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. \nIf you think you’re a fit, we are extremely excited to meet you.\nRole Overview \nOligo 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.\nWe’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.\nWe’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.\nThis 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.\nWhat You'll Do\nConstruct multi-agent AI systems that simulate, evaluate, decompose, and iteratively redesign spacecraft configurations using embedded physics models.\n\nContribute to our infrastructure for automated, high-context model training using flight data, past simulations, and test results-enabling real-time design intelligence.\n\nBuild and fine-tune LLMs and VLMs capable of parsing technical documents (RFPs, datasheets, ICDs, requirements trees) into formal subsystem constraints and architectural schemas.\n\nDevelop models that detect contradictions, inconsistencies, or gaps in requirement sets and suggest valid configurations or mitigations based on historical precedent.\n\nHelp construct a multimodal training dataset by collecting, aligning, and annotating text, diagrams, system specs, and config trees from past and current spacecraft programs.\n\nDesign a formal representation of system architecture knowledge (e.g., JSON schemas, graph-based topologies) for model supervision and traceability.\n\nContribute to automated generation of interface tables, block diagrams, FMEAs, and verification specs from unstructured or customer-supplied inputs.\n\nIntegrate your models into Zenith’s payload ingestion and system decomposition pipelines, ensuring outputs flow into downstream design, simulation, and manufacturability agents.\n\nCollaborate with spacecraft engineers, systems architects, and test leads to ensure model outputs match real-world engineering practices and testable subsystem boundaries.\n\nOptionally support go-to-market initiatives including demo preparation, customer onboarding automation, and BD tooling for international engagements.\n\nCollaborate daily with engineers building the real hardware-what you code will be tested in thermal chambers, vibration tables, and flown on orbit.\n\nWhat You'll Bring\nMinimum Qualifications\nBachelor’s/Masters degree (or final semester) in Computer Science, ML/AI, Engineering, or a related technical field (or willing to leave existing program)\n\nExperience in ML/AI through research, personal projects, or internships (not just coursework).\n\n2+ years of experience building advanced ML systems (deep learning, RL, planning, or LLM agent frameworks).\n\nStrong proficiency in Python, including PyTorch, JAX, or TensorFlow, and modern tooling (e.g., LangChain, Ray, FastAPI, DVC, Docker).\n\nExperience working on one or more of the following:\nVision-language models (e.g., transformers, CLIP, Flamingo-like systems)\n\nReinforcement learning for constrained optimization or control\n\nSimulation-aware ML pipelines, physics-informed ML, or surrogate modeling\n\nAutomated document parsing, retrieval-augmented generation (RAG), or knowledge graph-based systems.\n\nClear written and verbal communication skills and the ability to collaborate across both software and spacecraft teams.\n\nPreferred Skills and Experience\nHands-on ability to prototype, build, and debug hardware systems-bonus if you’ve worked with microcontrollers, sensors, or test rigs.\n\nWillingness to work extended hours or weekends when necessary to meet mission-critical deadlines.\n\nFamiliarity with spacecraft concepts, astrodynamics, or control systems is helpful but not required\n\nExperience working with structured engineering artifacts (ICDs, requirements tables, CAD trees, verification matrices).\n\nBackground in MBSE or spacecraft architecture design tools (e.g., Capella, CORE, or internal tooling).\n\nInterest in aerospace design processes including thermal, structural, or power subsystem allocation.\n\nExperience with project teams, technical clubs, or cross-disciplinary engineering efforts focused on space or robotics.\n\nA passion for building AI that engineers can trust-legible, auditable, and grounded in real flight programs.\n\nPay Range\nSalary range: $110,000 - $164,000 / per year.\n\nThis role is on-site in Hawthorne, CA\n\nBenefits\nEquity\n\nUnlimited PTO\n\nMedical (Platinum coverage), Vision, & Dental Insurance\n\nCatering provided on-site everyday.\n\nAdditional Information\nYou may be eligible for our suite of benefits including medical, vision & dental coverage.","description_format":"text","description_chars":6783,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Dental insurance","Equity","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Satellite Manufacturing","Space Services"],"lifecycle":[{"event":"open","at":"2026-09-13T03:44:26Z"},{"event":"open","at":"2026-09-26T10:50:03Z"}],"visa":[],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.097,"p_room":0.28,"age_days":457,"expected_fill_days":23,"reasons":["conf:0","win:tail","crowd:junior"],"computed_at":"2026-11-04T06:34:25Z"},"pay":{"stated_usd_annual":164000,"is_top_pay":true},"html_url":"https://alion.io/job/oligospace-ai-space-systems-software-engineer","json_url":"https://alion.io/job/oligospace-ai-space-systems-software-engineer.json","meta":{"generated_at":"2026-11-05T05:08:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6248,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":680264},"rest":"https://alion.io/mcp/rest/get_company?id=680264"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Foligospace-ai-space-systems-software-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Foligospace-ai-space-systems-software-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Foligospace-ai-space-systems-software-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/oligospace-ai-space-systems-software-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Foligospace-ai-space-systems-software-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":851128}},{"tool":"search_jobs","arguments":{"company":"oligospace.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":851128},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}