
Archetype AI helps businesses perceive and reason about physical environments using real-time sensor data to detect issues and automate responses. The company develops Newton, a proprietary Large…

Archetype AI helps businesses perceive and reason about physical environments using real-time sensor data to detect issues and automate responses. The company develops Newton, a proprietary Large…
What they do: Builds a Physical AI platform (Archetype Platform) and Newton, a multimodal foundation model for sensor/time-series fusion to enable edge-deployable Physical Agents.
Business model: B2B SaaS with API, agent toolkit, private fine-tuning, edge deployment, and GPU-accelerated inference for embedded AI.
Founded: 2023
Notable funding: $13M seed (Apr 2024) and $35M Series A (Nov 20, 2025)
Target industries: Construction, spatial computing, diagnostics, telecommunications, smart cities
Perception and reasoning over physical environments using multimodal sensor and time-series data to detect issues and automate responses.
2023
Technology, Information and Internet
13000000
Seed round announced tied to the Newton Physical AI model.
35000000
Series A announced on company blog; participation from multiple institutional investors.
3100000
TechCrunch reported a $3.1M seed investment announced Feb 28, 2023 (closed earlier).
“Company lists participation from institutional and strategic investors including Venrock, Bezos Expeditions, Amazon Industrial Innovation Fund, Samsung Ventures, Gaingels, Plug and Play, Comcast NBCUniversal LIFT Labs, and others across rounds.”
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About Archetype AI Archetype AI is developing the world's first AI platform to bring AI into the real world. Formed by an exceptionally high-caliber team from Google, Archetype AI is building a foundation model for the physical world, a real-time multimodal LLM for real life, transforming real-world data into valuable insights and knowledge that people will be able to interact with naturally. It will help people in their real lives, not just online, because it understands the real-time physical environment and everything that happens in it.
Supported by deep tech venture funds in Silicon Valley, Archetype AI is currently at the Series A stage and is progressing rapidly to develop technology for their next stage. This presents a unique and once-in-a-lifetime opportunity to be part of an exciting AI team at the beginning of their journey, located in the heart of Silicon Valley.
Our team is headquartered in San Mateo, California, with team members throughout the US and Europe.
We are actively growing, so if you are an exceptional candidate excited to work on the cutting edge of physical AI and don’t see a role that exactly fits you below you can contact us directly with your resume via jobsarchetypeaiio.
About The Role This role will lead rapid prototyping for emerging AI hardware and software interfaces, enabling the transition of early R&D results into viable product features. The contribution is twofold: first, to steer novel technologies toward meaningful, human-centered directions; second, to identify and shape new product opportunities. A critical aspect of the role is communication, using prototypes as narrative tools to translate complex AI capabilities into clear, compelling experiences that teams can align around.
Core Responsibilities
Responsibilities
8+ years of experience as a Design Engineer, Interaction Designer, or similar role, with a strong focus on rapid prototyping and a proven track record in research or R&D lab environments. In particular, we are looking for deep experience in:
Preferred / Nice-to-Have Skills
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Prototyping across hardware and sensor-based systems
Working with Generative AI or Machine Learning models and understanding their implications for user interfaces and interaction design
Building interactive prototypes using modern web technologies (e.g., React, Svelte, TypeScript, JavaScript, HTML/CSS)
Comfort with ambiguity and early-stage product exploration
Proven ability to work across design and engineering, comfortably navigating both conceptual and technical discussions
A portfolio demonstrating both research-oriented work and the successful shipment of complex, ambiguous product experiences