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Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence - including the human hand, proprioception, and vision - remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. 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Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence - including the human hand, proprioception, and vision - remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. THE OPPORTUNITY As a Research Engineer, you'll work on multimodal sensing systems and sensor fusion research for embodied AI and robotics. 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Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence - including the human hand, proprioception, and vision - remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. 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Remote, US - Bay Area About Us At Sully.ai , We're Building the Most Impactful Healthcare Company on Earth We believe that access to a great doctor is a basic human right. Today, that's not a reality. Delays, misdiagnoses, administrative chaos, and burnout plague the system. Our Mission One Human, One Doctor . We enable our customers to staff 30% of their workforce with AI by creating a shared agent architecture for scale and efficiency. All powered by our own patented, world-class models and deployed in real-world care. About the Role Sully automates clinical documentation at the point of care. Real-time ambient listening, structured medical notes, and agentic AI workflows embedded in the EHR. We're live in 270+ clinics, have processed 2M+ real physician-patient encounters, and run on custom medical models that outperform GPT, Claude and Gemini on clinical benchmarks. We're not a wrapper company. We're hiring a hands on Head of Engineering, Platform to take full ownership of Sully's platform domain: the agentic scribe pipeline, copilot backend, AI workers, EHR integration layer, and the infrastructure that ties them together. Platform is the engine: Every note generated, every EHR sync, every real-time AI action in a patient visit runs through what you build. 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