{"id":55073,"url":"https://alion.io/job/built-in-staff-software-engineer-agentic-infrastructure","title":"Staff Software Engineer, Agentic Infrastructure","company":{"id":5617,"name":"Relativity Space","domain":"relativityspace.com","url":"https://alion.io/company/relativity-space","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":73,"open_postings":58,"ghost_share":0,"stale_share":0.879,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Long Beach, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":181000,"max":271000,"currency":"USD","period":"year","gross":null,"usd_annual":271000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"DNS","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Proxmox VE","optional":false},{"name":"Gitea","optional":true},{"name":"GitHub","optional":true},{"name":"llama.cpp","optional":true},{"name":"MLX ML","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Ollama","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-08-12T22:02:56Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-17T02:12:01Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":65},"description":"At Relativity Space, we’re building rockets to serve today’s needs and tomorrow’s breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that’s just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known.\nJoining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven’t been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’re in propulsion, manufacturing, software, avionics, or a corporate function, you’ll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we’re writing together. Now is a unique moment in time where it’s early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us.\nAbout the Team:\nDark Matter Lab is a research group within Relativity Space focused on advanced aerospace systems, agentic engineering, and technologies outside the conventional roadmap. We build the infrastructure needed to turn new ideas into engineering capabilities people can actually depend on.\nAbout the Role:\nWe run a stack of interconnected agentic systems - SybilClaw, yapCAD, Mechatron, Multigraph, local LLM inference, an inter-agent message bus, parametric CAD pipelines, a print farm, and the infrastructure connecting it all. We need an engineer who can own and evolve these systems as they move from prototypes into production engineering infrastructure.\nThis role is for someone who has deployed an agentic harness (OpenClaw, Hermes, SybilClaw, or something comparable) in a real work environment. You understand what it takes to make these systems reliable when engineers depend on them every day. You’ll learn the stack, improve it, and work with forward-deployed engineers to package portions of it for deployment with internal and external customers.\nOwn the reliability of our agentic infrastructure: agents, sessions, model routing, context pipelines, inter-agent communication, and supporting services\nBuild and maintain infrastructure where good off-the-shelf solutions don't yet exist\nDeploy and operate local LLM inference across Mac Studio and GPU hardware\nManage Linux/macOS systems, Proxmox VMs and containers, storage, backups, and recovery\nMaintain multi-site networking including L3 routing, VLANs, DNS, firewalls, and connectivity\nBuild CLIs, dashboards, automation, and internal tools that make engineers faster\nImprove observability, debugging, and automated failure recovery\nContribute upstream to open-source projects we rely on\nHelp design practical security around local compute, data handling, and access controls\nPackage and deploy portions of the stack into internal and customer environments\nWork directly with engineers to understand what they need and turn recurring problems into better infrastructure\nAbout You:\n7+ years of experience building and operating complex software and compute infrastructure, with hands-on work across hardware, operating systems, networking, and automation\nExperience deploying an agentic harness such as OpenClaw, Hermes, SybilClaw, or a comparable system in a real work environment\nStrong Linux and macOS systems experience, including debugging services, processes, storage, permissions, and networking\nExperience operating physical infrastructure, VMs, or containers in production\nStrong networking fundamentals including routing, VLANs, DNS, and firewalls\nAbility to build software, scripts, CLIs, and integrations when existing tools aren't sufficient\nMeaningful experience contributing to or maintaining open-source software\nStrong judgment around reliability, security, performance, and simplicity\nNice to haves but not required:\nExperience with ITAR-regulated, air-gapped, export-controlled, or similarly constrained environments\nExperience operating local LLM inference with Ollama, MLX, vLLM, llama.cpp, or similar\nExperience with model routing, context management, tool execution, agent state, or multi-agent systems\nExperience building internal developer infrastructure used daily by other engineers\nExperience deploying systems into customer or forward-deployed environments\nA GitHub, Gitea, or other body of work where we can see what you've built\nThis role requires in-office presence at least three days per week, with flexibility to work remotely when the work allows. Much of this infrastructure is physical, local-first, and best built alongside the engineers using it.\nAt Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors.\nCompensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here.\nHiring Range:\n$181,000—$271,000 USD\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\nIf you need a reasonable accommodation, please contact us at .\n Please note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.","description_format":"text","description_chars":6246,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Aerospace Manufacturing","Launch Services"],"lifecycle":[{"event":"open","at":"2026-08-12T22:02:56Z"}],"visa":[],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.514,"p_room":0.6,"age_days":64,"expected_fill_days":65,"reasons":["conf:0","stale_co","velocity","win:late","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":271000,"is_top_pay":true},"html_url":"https://alion.io/job/built-in-staff-software-engineer-agentic-infrastructure","json_url":"https://alion.io/job/built-in-staff-software-engineer-agentic-infrastructure.json","meta":{"generated_at":"2026-10-17T03:32:59Z","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":4649,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":5617},"rest":"https://alion.io/mcp/rest/get_company?id=5617"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbuilt-in-staff-software-engineer-agentic-infrastructure"},{"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%2Fbuilt-in-staff-software-engineer-agentic-infrastructure"},{"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%2Fbuilt-in-staff-software-engineer-agentic-infrastructure"},{"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/built-in-staff-software-engineer-agentic-infrastructure\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbuilt-in-staff-software-engineer-agentic-infrastructure"}]}