Physical Intelligence jobs

Robot Operator San Francisco, California, United States About Physical Intelligence Physical Intelligence is building the future where AI-powered robots seamlessly integrate into our daily lives. Imagine a robot that can fold your laundry, prepare meals, and organize your space. Picture robots in warehouses that can handle any package, or manufacturing robots that can adapt to new products without reprogramming. We're making this vision reality by developing general-purpose AI that can control robots to perform any physical task. Our team of engineers, scientists, and roboticists is creating foundation models-the same breakthrough technology behind ChatGPT-but for the physical world. Just as language models learned to understand and generate text from massive datasets, our robots learn to interact with the physical world through high-quality demonstration data. The Role Data collection is the fuel that drives our mission. Every robot movement, every successful task completion, every demonstration you provide teaches our AI systems how to interact with the physical world. As a Robot Operator, you're not just controlling robots-you're literally training the AI that will power the next generation of intelligent machines. You'll be at the forefront of robotics AI, working hands-on with cutting-edge robotic systems to generate the high-quality training data our models need. Your precise demonstrations teach our AI everything from delicate manipulation tasks to complex multi-step processes. This is your chance to directly contribute to technology that will transform how robots help humans in homes, workplaces, and beyond. What You'll Do Primary Responsibilities - Teleoperate robotic arms through a variety of

AI and Robotics Recruiter San Francisco, California, United States Who We Are Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future. As a Full Stack Recruiter, you will help build the team that builds the robots - owning high-impact searches across research and engineering. This role is 100% in person. The Team The People team at Pi exists to recruit the world's best talent and provide them the tools and context to do their life's best work, removing all barriers, physical or digital, save the immense complexity of the problem at hand. The Recruiting team partners directly with founders and technical leaders to design roles, define talent strategy, and close exceptional candidates. We operate with a high bar, high transparency, and strong market awareness. In This Role You Will - Be an owner: recruiting is your profession, your specialty. Build it like you want it. Own full lifecycle recruiting for technical roles from building heatmaps for frontier lab talent to building relationships that allow you to close with full autonomy - Be a hunter: proactively identify and engage top-tier talent across ML research, robotics, systems, and infrastructure. Bring analytical rigor to your talent strategies. - Design interview processes: drive structured interviewer calibration while adapting evaluation to the specific talent market and role complexity. Be creative. There is no one-size-fits-all

Robotics Research Engineer San Francisco, California, United States Role Overview Physical Intelligence is bringing general-purpose AI into the physical world. We are a team of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future. In this role, you will work at the intersection of hardware, software, and large-scale model training to develop effective autonomous robot policies. You'll have the opportunity to work across the full stack behind state-of-the-art vision-language-action models: from designing robotic systems and data collection pipelines that produce high-quality training data, to developing learning algorithms that turn that data into capable, reliable policies. You'll help shape the datasets, infrastructure, and research directions that define how these systems are built. What You'll Do - Build autonomous robot policies that operate robustly in the real world. - Work across the full stack of robot learning, from hardware and data collection to training, evaluation, and deployment. - Create new data collection methods and pipelines to generate the high-quality data that powers state-of-the-art robot models. - Develop and refine vision-language-action models and learning algorithms for general-purpose manipulation and control. - Curate and shape large-scale datasets, task distributions, and training recipes for robot pretraining and adaptation. - Run fast, rigorous experiments to identify bottlenecks, uncover failure modes, and improve policy performance. - Collaborate closely with researchers and engineers across robotics, infrastructure, and ML systems. - Help define the technical roadmap for general-purpose physical intelligence. Competencies and Skills

Recruiting Coordinator San Francisco, California, United States Who We Are Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future. The Team The People team at Pi exists to recruit the world's best talent and provide them the tools and context to do their life's best work, removing all barriers, physical or digital, save the immense complexity of the problem at hand. This role is 100% in person. In this role, you will: - Own all interview scheduling across Pi's open roles: coordinate multi-panel onsites, phone screens, and founder rounds across complex calendars with fast turnaround and zero drops. - Run Ashby as the system of record: maintain pipeline hygiene, ensure stages/dispositions are accurate, build and maintain reporting dashboards, and generate weekly pipeline updates. - Own candidate experience end-to-end: be the primary point of contact for candidates from first scheduling touchpoint through offer close. Ensure communication is fast, warm, and consistent at every stage. - Build and improve recruiting workflows: design scheduling templates, interviewer calibration materials, candidate communication sequences, and feedback collection processes. Document everything so it scales beyond you. - Support hiring manager enablement: prep hiring managers for interviews (scorecards, role context), collect and consolidate debrief feedback, and help maintain interviewer training materials. - Partner on recruiting events and employer brand logistics: coordinate on-site visits, support recruiting events, and

Robotics Software Engineer San Francisco, California, United States Who We Are Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future. Achieving real-world performance requires extremely tight system latency, reliable sensor pipelines, and end-to-end engineering that makes perception and control loops work at real-time speeds. As a Runtime Software Engineer, you'll engineer the low-latency, high-throughput systems that underpin our physical intelligence model. You won't be designing ML models - you'll be the person who makes them run flawlessly in production , optimizing every layer from OS to camera pipeline to networking. You'll collaborate closely with researchers, platform engineers, and robotics operators to identify bottlenecks and extract maximum performance from the entire system. The Team The Runtime team is responsible for building the core platform that Pi's robots, sensors, and evaluation pipelines rely on. The team spans Linux systems engineering, camera and sensor pipelines, robot actuator controllers, networking, real-time IO, and performance tooling. They ensure our ML models and control systems operate under strict latency budgets and are robust under real-world conditions. In This Role You Will -Own Real-Time Pipelines: Engineer low-latency, high-reliability sensor and actuator pipelines across Linux, drivers, and middleware. -Optimize System Performance: Profile and optimize across compute, I/O, memory, scheduling, networking, and storage to meet real-time constraints and increase throughput. -Build OS-Level Capabilities: Extend or modify Linux components,

Director Product Management - Physical Intelligence 1000 Nicollet Mall, Minneapolis,MN 55403-2542 posted: Posted 22 Days Ago

Deployments Software Engineer San Francisco, California, United States Who We Are Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future. Deploying robots into the real world takes more than a capable model - it takes designing a physical system that's fast, safe, and reliable enough to run unattended on a customer's floor, backed by software you can observe, debug, and trust if something goes wrong. As a Robotics Software Engineer, you'll build that system. You'll integrate state-of-the-art models with robots that work on-site - building system safeguards, the teleoperation interfaces operators rely on, and the latency optimizations that make remote control feel instant. You'll work with researchers, platform engineers, and robot operators to make the whole stack dependable enough that customers bet their operations on it. The Team The Deployments team is responsible for solving real world problems with our models and robots. We tackle the full problem space: integrating with customer workflows, training models to solve their dexterous tasks, and ensuring the on-site reliability of the system. This breadth of problem space is why we're a full-stack robotics team - whether it's thinking about customer facing experiences or fine-tuning models for tasks no robot has done before, we put forth the best solution Pi has to offer. In This Role You Will - Design remote teleoperation interfaces: Develop

Robotics Service Technician San Francisco, California, United States As a Robotics Service Technician at Physical Intelligence, you will play a critical role in maintaining our fleet of advanced robotic systems. You will be responsible for the electrical and mechanical upkeep of robotic platforms, ensuring they are running at peak performance and minimizing downtime. This role requires skills in both mechanical systems and electrical components, including troubleshooting, diagnostics, and hands-on repairs. The ideal candidate will have a blend of hands-on mechanical and electrical system repair expertise, be highly detail-oriented, and the ability to work in a dynamic, high-tech environment. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Senior Manager, Physical Threat Intelligence Toronto Requisition ID: 263881 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. Leads and oversees the Physical Threat Intelligence program within Intelligence globally, ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures. Is this role right for you? In this role, you will: Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge. Leads and oversees Physical Threat Intelligence program to deliver proactive threat anticipation and prevention. Manages the intelligence lifecycle, operating model, standards, and best practices, in direct support of the Physical Security program, to enable loss prevention and risk mitigation. Oversees tactical operational and strategic analysis to convert information into actionable intelligence, leveraging appropriate analytical methodologies, tools, and quality controls. Ensure timely dissemination and communication of intelligence products (e.g., advisories, bulletins, alerts, early warnings, and ad hoc reporting), to the Physical Security teams, leadership, as well as other relevant operational and executive stakeholders. Maintain and expand internal and external partnerships and information-sharing relationships (e.g., other corporate functions as well as law enforcement, government, other financia

Research Internships San Francisco, California, United States Internships

Physical SOC Analyst, AWS Security Melbourne, Victoria, AUS ⚠️ Security Requirement: Applicants must be Australian citizens and hold or be eligible to obtain an Australian Government Security Clearance, with the ability to successfully complete an Organisational Suitability Assessment. For more information visit www.agsva.gov.au. G'day! You've found an opportunity that could define your next chapter. The Mission - Why This Program, Why Now? You're joining at the defining moment of one of the most significant technology programs Australia has ever undertaken. The architectural decisions being made now - how we structure networking, implement security controls, and automate at scale - will shape how Australia's national security community operates for the next decade. You won't be inheriting someone else's design choices. You'll be making them. Your Role - The Guardian of AWS Physical Infrastructure Imagine being the first line of defence for some of the most critical cloud infrastructure on the planet. As an AWS Incident Response Team (IRT) Analyst within the Physical Security Operations Centre (PSOC), you'll be the vigilant eyes and decisive mind protecting the physical backbone of services that hundreds of thousands of businesses across 190 countries depend on every single day. This isn't passive monitoring - this is active, intelligent security operations where your judgment directly safeguards national security assets. You'll respond to physical security events in real time, coordinate contracted guard forces, administer access control systems, and gather intelligence that keeps our people, operations, and infrastructure safe across the region. Every shift brings new challenges. Every decision

Senior Physical Security Analyst Singapore, Central, Singapore About AlphaSense: The world's most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients' own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role The Senior Physical Security Analyst will serve as AlphaSense's on-the-ground security presence in Singapore, protecting our people, facilities, and sensitive assets across our Southeast Asia operations. This is a broad, hands-on role that spans physical security operations, incident response, and introductory insider risk support-with a primary emphasis on physical security. You'll own day-to-day physical security for our Singapore office while serving as the local point of contact for security incidents and escalations. You'll work closely with AlphaSense's Insider Protection

Lead Software Engineer - Physical AI (Defense) Washington D.C., Arlington, Virginia, United States About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. About the role Applied Intuition is redefining vehicle intelligence across commercial and defense sectors. As a Lead Engineer, your responsibilities will look similar to those of a startup CTO: you'll work in small teams and own end-to-end execution of high stakes projects. You'll be the technical

GenAI Physical Synthesis Engineer Austin, United States of America Do you love building intelligent solutions that revolutionize chip design? Do you see the transformative potential of GenAI in physical synthesis workflows? As part of our Silicon Technologies group, you'll pioneer the next generation of AI-powered design automation tools that will accelerate our processor and SoC development. You'll harness cutting-edge GenAI and agentic technologies to solve complex physical synthesis challenges, enabling Apple to deliver even more powerful and efficient silicon. Joining this team means you'll be at the forefront of merging artificial intelligence with chip design, creating intelligent agents that will reshape how we build the technology that powers Apple's beloved devices! You will apply your expertise in GenAI, agentic frameworks, and physical synthesis to develop intelligent automation solutions that transform our RTL-to-GDS implementation flows. You will be directly responsible for creating AI-powered agents using technologies like Model Context Protocol (MCP) that can autonomously optimize physical synthesis processes, predict design challenges, and recommend solutions. Design and develop GenAI-powered agentic applications for physical synthesis optimization and automation Implement intelligent agents using Model Context Protocol (MCP) and other agentic frameworks to enhance synthesis flows Create AI-driven solutions that can autonomously analyze and optimize Physical Synthesis, LEC and DFT Implementation workflows Build intelligent CAD tools that leverage GenAI for synthesis optimization and automated debugging Integrate agentic solutions with existing EDA tools (Fusion Compiler, Genus) to create seamless AI-enhanced workflows Collaborate with cross-functional teams to deploy AI agents across multiple design teams and synthesis flows

Solution Engineer - Tooling (Vehicle Intelligence) Munich, Bavaria, Germany About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. About the role Applied Intuition's Tools for Vehicle Intelligence (including the Applied Development Platform, also known as ADP) is the end-to-end platform for building and validating intelligent systems at petabyte scale. As a Solution Engineer on the Tooling pillar, you will work with ADAS and AD engineering teams at OEMs

Protective Intelligence Analyst Posting Country United States (US) | Posting State/Province Wisconsin | Work Location Hybrid Requisition ID: 38259 Crafted Highlights: In the role of Protective Intelligence Analyst working in Milwaukee, Wisconsin, you will be part of the North America Legal Team. You will support the physical security function by identifying, assessing, and monitoring threats to personnel, facilities, and operations. This role involves collecting and analyzing open-source and proprietary intelligence to proactively detect risks, support investigations, and inform protective strategies. The analyst works closely with security operations, executive protection, legal, and law enforcement partners to ensure a comprehensive threat management approach. This position reports to the Manager Protective Intl & Event Security. What You'll Be Brewing: Monitor open-source intelligence (OSINT), social media, and internal data sources for indicators of threats to personnel, facilities, or events. Analyze threat actors, tactics, and trends to produce actionable intelligence reports. Maintain awareness of geopolitical, criminal, and extremist developments relevant to the organization's footprint. Conduct threat assessments for high-risk individuals, locations, and events. Develop and maintain intelligence products including threat matrices, risk profiles, and situational reports. Present findings to security leadership and cross-functional stakeholders. Support physical security teams with intelligence-driven recommendations for mitigation strategies. Provide intelligence support to executive protec

Operations Global ABOUT HUMAN ARCHIVE Human Archive is a research lab focused on modeling human embodied intelligence. 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 This role is ideal for someone early in their career (1-5 years of experience, or an exceptional dropout) who wants real operational ownership, not a rotational apprenticeship. You'll work

All-Source Intelligence Analyst Thailand BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. About the Role TRM Labs builds the intelligence infrastructure behind the world's most consequential crypto investigations. As an All-source Intelligence Analyst, you will execute OSINT collection operations and build targeting packages on SE Asia scam compound networks from inside the region. You will fuse cell triangulation, IP geolocation, GEOINT, adtech, and in-region physical collection with financial intelligence and on-chain data to produce targeting packages that disrupt crypto-enabled fraud at scale. The impact you will have: - Run end-to-end intelligence and OSINT operations against scam infrastructure across Southeast Asia, converting collection into targeting-ready intelligence for TRM teams and government partners. - Trace scam compounds geographically and operationally using cell triangulation, IP geolocation, GEOINT, adtech, physical OSINT, on-chain attribution, and commercially available data across Myanmar, Laos, Cambodia, and Thailand. - Process investigative returns at high volume and feed victim, operator, and infrastructure data into TRM's intelligence and product pipelines. - Pivot from a single victim, wallet, device, or compound lead into broader operational networks and actionable investigative leads. - Partner closely with TRM's Scams SME team, on-chain analysts, and the DC-based targeting cell to support government enforcement actions. What we're looking for: - US

Infrastructure Engineer India ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. 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 an Infrastructure Engineer at Human Archive, you will build and optimize the storage and offloading infrastructure powering PB-scale multimodal robotics data collection used

Head of Engineering San Francisco ABOUT HUMAN ARCHIVE Human Archive is a research lab focused on modeling human embodied intelligence. 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. About the Role This is a full-stack hardware engineering role spanning mechanical, electrical, firmware, embedded systems, and manufacturing. The engineer in this role will own integration across all

Research Engineer San Francisco ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. 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. This role sits at

Research Scientist, Robotics, Embodied AI, DeepMind Mountain View, CA, USA We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We're looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people. At DeepMind Robotics we are pioneering bringing AI to the physical world. We are powering an era of physical agents, enabling robots to perceive, plan, think, use tools, and act to better solve tasks. In this role, you will develop Vision Language Action (VLA) models that combine Gemini's world understanding with physical actions to directly control robots. You will include Gemini Robotics (our Gemini model for the physical world), and Gemini Robotics On-Device (our Gemini model that runs without a data network). You will also develop reasoning and agentic systems for the physical world, including Gemini Robotics-ER, a Gemini agent with spatial understanding. You will enable robots to perform a range of tasks, respond interactively to their environment, achieve dexterity, and reason over long multi-step tasks. You will focus on advancing in areas of general purpose robotics, including real world understanding, action generalization, human robot interaction, whole-body control, and continual learning. Additionally, you will partner with robotics companies to bring this intelligence to applications at scale. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a

Research Scientist, Robotics, DeepMind Cambridge, MA, USA We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We're looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people. At Google DeepMind Robotics, we are pioneering the integration of AI into the physical world to power an era of physical agents. By enabling robots to perceive, plan, think, use tools, and act, we empower them to solve increasingly tasks. In this role, you will focus on building foundation models, such as advanced vision-language-action (VLA) models, which combine Gemini's world understanding with physical actions to provide direct robotic control. These include Gemini Robotics, our most advanced Gemini model for the physical world, and Gemini Robotics On-Device, our fastest Gemini model that functions without a data network. These models allow robots to perform a broad range of tasks, respond interactively to their environment, achieve high dexterity, and reason over long, multi-step sequences. Beyond model building, we are committed to advancing general-purpose robotics, specifically in areas like agentic reasoning, real-world understanding, action generalization, human-robot interaction, dexterity, whole-body control, and continual learning. To deploy these innovations at scale, you will partner with key robotics companies to bring this intelligence to the physical world across a broad array of applications. Artificial intelligence will be one of humanity's most transformative

Embedded / Electrical Engineer China | OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. 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. What you'll work on We're hiring an electrical engineer to lead PCB and power systems for our wearable capture hardware. Dense, high-speed,