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 pre-Series A, 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 Palo Alto, 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. We are hiring a Staff Software Engineer responsible for the design, evolution, and reliability of our Physical AI systems and agent framework within the Solutions organization. This role defines the architecture and core abstractions for enterprise-grade Physical AI agents and the systems that support them. This is a Staff-level individual contributor role with clear technical ownership. You will shape how agents and supporting systems are built, extended, tested, and operated, enabling internal teams to deliver repeatable, production-ready solutions to enterprise customers. While the role occasionally involves building reference integrations or supporting customer engagements, the primary focus is backend systems, framework design, and engineering rigor rather than UI-heavy application development. The role reports into the Head of Solutions Engineering and works closely with Solutions Engineers, Product, and the Platform team to translate real-world requirements into durable, reusable systems.