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Deepmind

Technical Program Manager, Robotics Hardware

Posted Yesterday
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In-Office
Cambridge, MA
183K-271K Annually
Senior level
Easy Apply
In-Office
Cambridge, MA
183K-271K Annually
Senior level
Lead complex technical programs bridging research and application in robotics. Work with teams to enhance processes and deliver innovative solutions.
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Snapshot

  • Join Google DeepMind's Robotics team as a Technical Program Manager and be at the forefront of building the Embodied AI powering the generation of intelligent robots. 
  • In this role, you will lead complex programs that bridge the gap between cutting-edge research and real-world application, working closely with our world-class researchers and key external partners. This is a unique opportunity to shape the future of Embodied AI and make a significant impact on one of the most exciting fields in technology.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

We’re seeking a Technical Program Manager who is excited to be at the center of building the Embodied AI to power a ‘new wave’ of robots that act with human-level intelligence. This is an opportunity to partner with Aaron Saunders, VP of Hardware Engineering, to build a new lab in Cambridge, MA.

About You

In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • Experienced at leading complex technical programs and have 6+ years of experience as a technical program manager, with a strong track record of successful program delivery.
  • Proven ability to navigate fast-paced, ever-evolving environments, demonstrating resourcefulness and creativity in solving complex challenges and implementing scalable solutions. 
  • Prior experience working with rapid hardware development and testing.
  • Demonstrated ability to improve processes, workflows, and governance models to enhance efficiency within research teams.
  • Experience working with senior leadership, confidently communicating challenges and risks while proposing new solutions.

In addition, the following would be an advantage: 

  • Prior experience with launching a new team or site.
  • Prior experience in an environment where hardware and software are deeply intertwined.
  • Prior experience managing collaborations with external partners.
  • Prior experience working with globally distributed teams.

The US base salary range for this full-time position is between $183,000 USD - 271,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 22nd December 2025

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.


Top Skills

Artificial Intelligence
Hardware Development
Robotics

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