Research Engineer, Humanoids, DeepMind

Google; Mobile (AL); On-site; USD 147,000 - 211,000; Full time

Job summary

Google DeepMind in Mountain View, CA, seeks a Research Engineer to advance AI-enabled robotics and maintain a growing robot fleet. You will design and implement software across systems, collaborate with cross-disciplinary teams to prototype and deploy capabilities, and contribute to scalable infrastructure.

The role emphasizes building introspection tools, verification methods, and robust robot platforms to accelerate research while solving real-world challenges.

Qualifications

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 2 years of robotics experience, developing and maintaining robot software systems.
• Experience using ML frameworks, specifically JAX.

Responsibilities

• Design, develop, and maintain robotic setups for continuous robot learning experiments.
• Collaborate with partner teams to co-develop infrastructure, tooling, and processes to accelerate robot learning research.
• Develop and maintain verification methods for a fleet of robots.
• Work with cross-functional teams in a dynamic environment, quickly prototype, iterate, and deliver robot capabilities in real-world applications.
• Keep track of major changes and trends in infrastructure and enable adoption of new frameworks and systems without significant impact on development work.

Skills

Robotics experience

Python

C++

Education

Bachelor's degree in Computer Science or related field

Tools

JAX

Job description

Research Engineer, Humanoids, DeepMind

Location: Mountain View, CA, USA

Minimum qualifications:

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 2 years of experience in robotics, specifically with developing and maintaining robot software systems.
• Experience using ML Frameworks, specifically JAX.

Preferred qualifications:

• Experience of applying ML methods in the context of robotics, and follows the latest state-of-the-art research in Foundation Models.
• Proven track record of owning technical problems and debug complex systems end-to-end.
• Python and C++ programming skills.
• Passion for AI and wants to work in a fluid team trying to connect Gemini-intelligence to physical robots.

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.

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 complex issues.

What we do:

• Build foundation models
• Advance the state of the art
• Deploy at scale

As a Research Engineer, you will manage the practical issues of a growing fleet of robots. You will have experience working with complex systems, the ability to build introspection tools, and debug issues across the system. You will build and maintain critical infrastructure to standardize and strengthen robot platforms to accelerate 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 - $211000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Design, develop, and maintain robotic setups for continuous robot learning experiments.
• Collaborate with partner teams to co-develop infrastructure, tooling, and processes, to accelerate robot learning research.
• Develop and maintain verification methods for a fleet of robots.
• Work with cross-functional teams in a dynamic environment, quickly prototype, iterate, and deliver robot capabilities in real-world applications.
• Keep track of major changes and trends in infrastructure and enable adoption of new frameworks and systems without significant impact on development work.

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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.

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.

Locations: DeepMind, Mountain View, CA, USA