Research Engineer, Robotics, DeepMind

Research Engineer, Robotics, DeepMind Share Research Engineer, Robotics, DeepMind

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corporate_fareDeepMindplaceCambridge, MA, USA

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Minimum qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Robotics, or equivalent practical experience.

• 3 years of experience developing, integrating, and debugging software for simulated and physical robotic systems.

• Experience with physics simulation environments (such as MuJoCo, NVIDIA Isaac Sim, or Gazebo) for modeling robots, testing software stacks, or validating sim-to-real transfer.

• Experience integrating sensor streams (cameras, IMUs, encoders, or tactile sensors), actuator interfaces, and real-time control loops into a robotics software stack.

Preferred qualifications:

• 5 years of experience building core components of a robotics software stack, SDK, or hardware abstraction layer.
• Experience developing, deploying, or running machine learning policies (such as Vision-Language-Action models or reinforcement learning controllers) on physical robots.
• Experience with system identification, actuator and sensor modeling, or closing the sim-to-real gap for manipulation or locomotion.
• Experience with teleoperation systems, motion tracking hardware, wearable data collection devices, or multi-fingered dexterous hands.
• Experience designing automated calibration verification, system health monitoring, or hardware-in-the-loop (HIL) test pipelines.

About the job At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. As a Robotics Research Engineer, you will connect physical and simulated robot platforms to our research and machine learning software stack. Your core focus is to build a unified software interface across physics simulation and physical hardware so that models, teleoperation systems, and evaluation tools run seamlessly in both domains. Working in our Cambridge lab alongside hardware, simulation, and machine learning teams, you will bring up new robotic platforms, end effectors, and wearable devices and make them ready for research. 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.

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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities

• Integrate robot control software and hardware interfaces with our common robotics SDK across simulated and physical platforms, end effectors, and wearable devices.
• Build, validate, and maintain physics simulation environments and software-in-the-loop harnesses that accurately model the on-robot software stack, control loops, and hardware interfaces.
• Run and maintain the on-robot execution harness to call local and remote machine learning action models in real time.
• Connect platforms to the teleoperation and data logging stack to capture synchronized sensor streams, robot actions, and demonstrations for model training.
• Develop platforms with fleet orchestration and evaluation tools to run standardized benchmarks and guide data collection.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.