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

Applied Researcher 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 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 - Deploy and debug learned policies on physical robots, diagnosing failures across the full stack (perception, policy, control, hardware). - Train and tune policies, curate data, and iterate to improve real-world performance. - Write production-quality code that interfaces with Pi's infrastructure. - Work with operators to set up tests, evals, and data collection pipelines. - Engage with partners to understand use cases and observe robots in deployment contexts. - Bridge research and operations: translate research advances into deployable systems, and surface real-world failure modes back to researchers and (software and hardware!) engineers. - Define and shape a vision for what real-world deployments will look like in the long-term What We Hope You'll Bring

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

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

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

Electrical Engineer (UMI) San Francisco, California, United States Who we are 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. The team This role is part of the hardware team, but will involve deep collaboration with the embedded firmware team and the robot software engineering (runtime) team. In this role you will: - Drive Hardware Architecture: Lead the electrical design of devices crucial to PI's data collection, from component selection (SoCs, Sensors, PMICs) to final PCBA. - Imaging System Design: Lead the hardware integration of high-resolution image sensors, ensuring clean power rails and high-speed data paths (MIPI) for optimal image quality. - Wireless Hardware Integration: Design and optimize RF front-ends for wireless modules, focusing on antenna placement, signal range, and power consumption. - Schematic & Layout: Take full ownership of schematics and supervise/execute PCB layouts for complex, space-constrained enclosures. - Hardware Validation: Design and execute test plans to identify hardware bugs, signal integrity issues, and thermal bottlenecks. - DFM/DFT: Work with manufacturing partners to ensure designs are optimized for high-yield assembly (Design for Manufacturing) and comprehensive on-line testing (Design for Test). - Power Optimization: Analyze and optimize the hardware-level power consumption for battery-operated devices, and assist with thermal testing and validation of the devices. What we hope you'll bring: In addition to 3-7 years of experience in hardware design

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

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

Physical Design Engineer - Neuromorphic Computing 4 Locations posted: Posted 30+ Days Ago

AI Fullstack Engineer, Health Intelligence Hybrid - Helsinki, Uusimaa Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work - both in and out of the office. Oura's engineering organization consists of talented developers distributed across the EU and US. For day-to-day feature work, our engineers are organized into smaller cross-functional teams. Our teams have a great deal of autonomy and are responsible for the design, development and architecture of their features. Teams take full ownership of their code and handle everything from concepting, design and implementation to release, maintenance and bug fixes. About the role The Health Intelligence team is at the forefront of integrating modern AI and LLMs into the Oura experience, transforming how members interact with and learn from their data. We are building the next generation of AI-powered health guidance at Oura, blending traditional ML with modern LLMs, reasoning systems, and robust evaluation - not as “chatbots with vibes,” but as rigorously evaluated

Physical Design Engineer, Machine Learning San Jose, United States of America At Apple, we believe our products begin with our people. By hiring a diverse team, we drive creative thought. By giving that team everything they need, we drive innovation. By hiring incredible engineers, we drive precision. And through our collaborative process, we build memorable experiences for our customers! These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a hands-on development team that sets the standard in cultivating excellence, creativity and innovation. Come help us design the next generation of revolutionary Apple products. We are looking for a forward-thinking and unusually talented engineer. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft and implement methodologies and solutions with a high impact on upcoming products that will delight and inspire millions of Apple's customers every single day. In this role, you will be directly involved in our physical design machine learning efforts, collaborating right alongside our internal multi-functional teams, and using your expertise in machine learning and physical design to ensure that our SOCs achieve the optimal Power, Performance, and Area (PPA). We account for every nano watt, every nano meter, and every pico second. As a member of the physical design machine learning architecture team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering

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

Physical Design Engineer San Francisco, California, United States About the Team OpenAI's Hardware team designs the custom silicon that powers the world's most advanced AI systems. From system-level architecture to custom circuit implementations, we partner closely with model and infrastructure teams to deliver performance, power, and efficiency breakthroughs across all layers of the stack. About the Role We are seeking a highly skilled Physical Design Engineer with deep expertise in physical design and methodology. This individual contributor role sits within our physical design team and is central to delivering power, performance, and area (PPA) optimized datapath and interconnect solutions for next-generation AI accelerators. You'll work closely with RTL designers to define and execute on physical design strategies. You will develop tools, flows and methodologies to increase team productivity. Your work will directly impact silicon's performance and cost efficiency, as well as the team's execution velocity and quality. In this role, you will: - Develop, build and own tools, flows and methodologies for physical implementation - Own physical implementation of floorplan blocks from floorplanning to final signoff - Collaborate with RTL designers to drive optimal block implementation solutions - Analyze and optimize design for timing, power, and area trade-offs, working in collaboration with EDA vendors and ASIC partners Qualifications: - BS w/ 4+ or MS with 2+ years or PhD with 0-1 year(s) of relevant industry experience in physical design and methodology development - Demonstrated success in taping out complex silicon designs - Hands-on experience with block physical implementation and PPA

Physical Design Engineer Malaysia, Penang posted: Posted 22 Days Ago

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

AI Silicon Physical Design Engineer Remote, California, United States; Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Join our close-knit physical design team where you'll excel in synthesizing, placing, and routing high speed designs. Experience the full spectrum of physical design and implementation, collaborating closely with the RTL team and integrating these blocks seamlessly into the full-chip architecture. Skills & Qualifications - 10+ years of physical design & physical verification experience. - Strong knowledge of block level and full-chip physical verification methodology. - Strong experience in block/subsystem timing closure. - Expert at optimizing for the

Technical Lead Manager, Physical AI San Francisco, CA Scale AI is the data engine for the entire AI industry. Our mission is to accelerate the development of AI applications by providing organizations with the high-quality data they need. The Physical AI team at Scale is focused on the next frontier: building general AI that can reason and act in the physical world. By leveraging Scale's massive data infrastructure, we are helping frontier labs build Foundation Models for Physical AI that will redefine the future of automation. Role Overview As the Technical Lead Manager (TLM) for the Physical AI team of Scale , you will bridge the gap between cutting-edge Machine Learning research and physical robot deployment. You will lead a high-performing team of Research Engineers while remaining a hands-on technical contributor (~60% of your time). Your primary focus will be the development and evaluation of Large-Scale Foundation Models (e.g VLAs, World models) that allow robots and AVs to generalize across diverse tasks, environments, and morphologies. Key Responsibilities Technical Leadership & Research - Model Scaling: Direct research into scaling laws for Physical AI, determining how to best utilize massive datasets for pre-training and fine-tuning generalist policies. - VLA and World model development: Develop novel methods for developing and evaluating models, including new Physical AI industry benchmarks - Hands-on Modeling: Actively write code to implement, train and test SOTA architectures. Conduct research on Physical AI data collection, cross-embodiment training, and policy fine-tuning. - Data Strategy: Collaborate with internal labeling teams to design

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

Physical Design Engineer Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a member of our tight knit physical design team, you will be working on the design and analysis of 3D integrated products. This role involves a combination of traditional ASIC/SoC physical design skills, packaging, power, clock and cooling analysis. You will work closely with the architecture and RTL team to do R&D on novel concepts for 3D integration. Skills and Qualifications Required - 10+ years of physical design/verification experience. - Strong knowledge of block level and full-chip physical verification methodology. - Expert at

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