{"id":1230907,"url":"https://alion.io/job/archetype-ai-product-engineer-platform","title":"Product Engineer, Platform","company":{"id":1814726,"name":"Archetype AI","domain":"archetypeai.io","url":"https://alion.io/company/archetypeai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Kula","truth_index":null},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Mateo, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":147000,"max_usd":263000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1400},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Rust","optional":false},{"name":"MQTT","optional":true},{"name":"OPC UA","optional":true}],"status":"live","first_seen_at":"2026-09-24T14:38:56Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-25T22:29:54Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Archetype AI\nAt Archetype AI, we’re building the world’s first physical AI platform to bring artificial intelligence into the real world. Our foundation model, Newton, understands the physical world through objective sensor data and generates real-time insights into complex physical behaviors, from industrial machinery and systems to wearable devices and smart environments.\nFormed by a high-caliber team from Google and backed by one of Silicon Valley’s most renowned venture funds, Archetype AI is in a Series A phase and rapidly advancing its technology for the next big leap. This is a unique opportunity to join an exciting, fast-growing AI team based in the heart of Silicon Valley.\nRole Overview\nWe are seeking a talented Backend Engineer to architect, build, and scale foundational platform domains - ranging from public APIs/SDKs and agent execution runtimes to multi-tenant ingestion paths and orchestration engines for high-performance GPU jobs. You will translate frontier AI capabilities into resilient production infrastructure. Mid-level candidates will take end-to-end ownership of core backend services and user-facing capabilities. Senior candidates will drive technical architecture, establish system design patterns, and elevate engineering standards across the entire organization.\nWhat You'll Own\nOwn backend product capabilities end to end: design, build, ship, operate, iterate. REST/Python APIs, agent runtimes.\n\nMake research usable. Turn a new Newton capability into a versioned, observable, multi-tenant production path.\n\nBuild for more than one deployment model: our cloud, a customer VPC, on-prem, and increasingly the edge.\n\nTreat developers as customers. API shape, error messages, SDKs, and internal tools should make the next team faster.\n\nOperate what you build: SLOs, tracing, metrics, logs, on-call. Debug across code, datastores, queues, and Kubernetes.\n\nKey Qualifications\n4-8+ years of professional engineering with a backend, distributed systems, or developer-platform track record.\n\nStrong production experience in Rust, Python, Go, or C++. Rust strongly preferred; be ready to work in it daily.\n\nHave designed, built, and operated production services in the cloud (AWS, GCP, Azure) with Kubernetes and CI/CD.\n\nDistributed systems in practice: concurrency, consistency, backpressure, retries, idempotency, 10× load.\n\nProduct judgment: has shipped APIs or infrastructure other engineers chose to use, and cares about the contract.\n\nAI-assisted development is part of your workflow: coding agents daily, without lowering the quality bar.\n\nNice to Have\nML platform experience: model serving, GPU job scheduling, experiment tracking, or feature/data pipelines.\n\nOn-prem, hybrid, or customer-VPC deployments; multi-tenant SaaS; identity, keys, and audit.\n\nIndustrial or IoT protocols (MQTT, OPC-UA, Modbus, RTSP) or streaming media/sensor pipelines.\n\nPrior time at an API, infrastructure, or AI-platform company where reliability was the product.","description_format":"text","description_chars":2991,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Foundation Models","Industrial AI"],"lifecycle":[{"event":"open","at":"2026-09-25T14:38:56Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":31,"reasons":["conf:4","win:early"],"computed_at":"2026-09-26T02:38:57Z"},"pay":null,"html_url":"https://alion.io/job/archetype-ai-product-engineer-platform","json_url":"https://alion.io/job/archetype-ai-product-engineer-platform.json","meta":{"generated_at":"2026-09-26T02:38:57Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2778,"day_limit":5000,"remaining_today":2222,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}