Research Engineer, Deployment Performance, Robotics, DeepMind

Company: Google Inc.

Location: London

Posted: May 1st, 2026

Research Engineer, Deployment Performance, Robotics, DeepMind

corporate_fare DeepMind place London, UK

Preferred qualifications:

About the job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to set up 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.

The Model Lifecycle Engineering team at DeepMind Robotics plays a critical role in the mission to solve AGI in the physical world. We develop and maintain scalable platforms to train, evaluate and deploy Gemini Robotics models. By enabling researchers and Gemini Robotics trusted testers to iterate quickly and efficiently, we accelerate the pace of innovation in robotics research.

As a Research Engineer, you will work closely with research scientists, engineers, and other stakeholders across DeepMind to develop and maintain the robust and scalable serving infrastructure that powers our robotics research. You will focus on building reliable and flexible serving solutions for real robot evaluation, accelerating both research and Gemini Robotics partners.

You will learn and work in a fast-changing environment and collaborate with engineers and researchers from multiple teams across different time zones.

Artificial intelligence will be one of humanity’s most transformative inventions. At 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 learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

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.

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.

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