PERMANENT

FULL_TIME

ADAPTED_NOW

UNKNOWN

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. Participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action (VLA) models, transformers, video generation, robot control, humanoid robots, and more.

<h3>Minimum qualifications:</h3><ul><li>PhD in Computer Science, a related field, or equivalent practical experience.</li><li>Experience contributing to research communities or efforts, including publishing papers at conferences (e.g., NeurIPS, CoRL, ICML, ICLR).</li><li>Experience working with simulators and robots.</li></ul><h3>Preferred qualifications:</h3><ul><li>Experience training neural networks using large datasets or simulation to improve real robot behavior.</li><li>Experience in robot manipulation.</li><li>Experience with Python programming.</li></ul><div><h2>About the job</h2><p>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.</p><p>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.</p><div>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.</div><div>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.</div><p>Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.</p><div>We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.</div><div></div><div>The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div></div><div>Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2>Responsibilities</h2><ul><li>Design, implement, train, and evaluate large models and algorithms for robotic agents to make breakthroughs and unlock new robot capabilities.</li><li>Write software to implement research ideas and iterate quickly.</li><li>Participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action (VLA) models, transformers, video generation, robot control, humanoid robots, and more.</li><li>Work effectively with a large collaborative team with changing agendas to meet ambitious research goals.</li><li>Generate creative ideas, set up experiments, and test hypotheses to report and present research findings clearly and efficiently both internally and externally.</li></ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google

Research Scientist, Robotics, DeepMind

Algorithms

Artificial Intelligence (AI)

Computer Engineering

Computer Networks

Computer Science

Conferences

Data Sets

Equal Employment Opportunity (EEO)

Hardware Design

Human Interaction

Neural Networks

Product Demonstration

Product Development

Publications

Python Programming/Scripting Language

Reinforcement Learning

Robotics

Scientific Research

Simulation

Software Development

Software Engineering

Team Player

Testing

monster

You will engage in co-design loops with qubit designers and superconducting digital circuit designers, utilizing advanced IC design tools, numerical circuit simulation techniques and 3D electromagnetic modeling to optimize signal integrity, minimize crosstalk, manage thermal budgets, and aim performance metrics required for coherent control of qubits. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Cambridge, MA, USA; Mountain View, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA; Goleta, CA, USA.Minimum qualifications: Master's degree in Electrical Engineering, Physics, related engineering discipline, or equivalent practical experience.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<div><div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<ul><li>Health, dental, vision, life, disability insurance</li><li>Retirement Benefits: 401(k) with company match</li><li>Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance </li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>Baby Bonding Leave: 18 weeks</li><li>Holidays: 13 paid days per year</li></ul></div></div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Cambridge, MA, USA; Mountain View, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA; Goleta, CA, USA</b>.<h3>Minimum qualifications:</h3><ul><li>Master's degree in Electrical Engineering, Physics, related engineering discipline, or equivalent practical experience.</li><li>Experience in superconductor logic families (e.g., RSFQ, ERSFQ, RQL, HFQ, AQFP).</li><li>Experience performing tape-out of a superconducting IC chip.</li><li>One or more published research paper or presentation at a relevant scientific conference.</li></ul><h3>Preferred qualifications:</h3><ul><li>PhD in physics, electrical engineering, or a related engineering discipline.</li><li>7 years of research/industry experience in the design and simulation of superconductor digital logic circuits with 3 years of experience leading an Research and Development (R&D) group towards tape-out and demonstration of superconducting IC chips.</li><li>Experience with full digital design flow including RTL, synthesis, verification, timing closure, place-and-route, and post-fabrication validation.</li><li>Experience with low-temperature measurements of superconductor digital logic circuits.</li><li>Experience with superconducting qubits.</li><li>Proficiency with computer-aided design tools and electromagnetic simulation tools.</li></ul><div><h2>About the job</h2><p>As a Research Scientist, your primary focus will be designing and simulating superconductor digital logic circuits (such as single flux quantum (SFQ) logic and adiabatic quantum flux parametron (AQFP) logic) for qubit control and readout. You will engage in co-design loops with qubit designers and superconducting digital circuit designers, utilizing advanced IC design tools, numerical circuit simulation techniques and 3D electromagnetic modeling to optimize signal integrity, minimize crosstalk, manage thermal budgets, and aim performance metrics required for coherent control of qubits. You will also interface with fabrication engineers to help define and establish IC design standards that are compatible for both the sensitive superconducting qubits and the co-located cryogenic control electronics. This work is critical to building a fully integrated, modular chip stack that combines superconducting qubits with their control electronics directly within the cryogenic environment, accelerating the path toward large-scale, error-corrected quantum computer.</p><div>This work is critical to building a fully integrated, modular chip stack that combines superconducting qubits with their control electronics directly within the cryogenic environment, accelerating the path toward large-scale, error-corrected quantum computers.</div><p>The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.</p><p>The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2>Responsibilities</h2><ul><li><div><div>Design and simulate superconductor digital logic circuits (such as single flux quantum (SFQ) logic, adiabatic quantum flux parametron (AQFP) logic, and other emerging superconductor logic families) for generating waveforms tailored to qubit control and readout.</div></div></li><li><div><div><div><div><div>Develop superconductor digital logic systems enabling multiplexed qubit control and readout.</div></div></div></div></div></li><li><div><div><div><div><div>Address issues in the integration of superconductor digital electronics such as multi-layer cell design, full-chip clock synchronization, flux trapping, and signal integrity.</div></div></div></div></div></li><li>Collaborate with teams focused on design, fabrication, and measurement to validate fully integrated quantum processors.</li><li><div><div><div>Publish research papers and present at leading scientific conferences to advance and enhance publicity.</div></div></div></li></ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Research Scientist, Robotics, DeepMind Google

Senior Research Scientist, Superconducting Digital Electronics, Quantum AI Google

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