Research Engineer, Applied Robotics

The Google Deepmind Robotics ML-Framework team’s mission is to enable and accelerate cutting‑edge robotics AI research and maximize research impact in the real world. We achieve this by collaborating closely with top tier embodied AI researchers to tackle emerging challenges and push the boundaries of what’s possible. We form partnerships with top robotics players in the world and actively work with them to externalize our robotics research outcomes.

Our team works hand in hand with infrastructure experts in robotics and GDM to deliver innovative, robust, flexible, and extensible software solutions that empower a wide array of research and partner projects. The team is a core member of Google Deepmind Robotics, which is a research team devoted to exploring how machine learning can revolutionize the world of robotics. Recent advances in Large Language Models and perception, fueled by the deep learning revolution, have made it possible to envision autonomous robots that acquire a deep understanding of their environment through sensing and learning. This requires new, scalable approaches to learning in the physical world, as well as safe and data efficient approaches to continuously improving sensorimotor skills, which will ultimately enable autonomous agents to safely act in human-centered environments.

As a Research Engineer in the Applied Research team, your work will enable external parties to access our models and model development pipeline with the goal of deploying our latest AI robotics models to their applications in the real world. You are experimentalists and typically develop prototypes, build infrastructure, scale algorithms, build tools, and perform and analyze experiments. You are insightful and innovative, proactively identifying needs and bottlenecks while proposing and iteratively crafting solutions with the team. You serve as the nexus between the robotics team and our partners—collaborating with cross-functional colleagues, providing engineering insights into research projects, and translating partners’ application needs into effective tool development.

Key responsibilities:

• Work closely with robotics partners to bring state-of-the-art Gemini robotics models to real‑world applications.
• Explore, implement and optimize model flywheel recipes that enable robotics partners to develop customized models and applications using Gemini Robotics models.
• Build and maintain flexible and easy to use model development pipelines with the verified recipe to benefit the broader robotics ecosystem.
• Analyze, identify, and resolve system bottlenecks while tackling novel engineering challenges across the full system stack.
• Collaborate with robotics and GDM-wide infrastructure teams to define short‑and long‑term infrastructure roadmaps.

About you:

Minimum Qualifications:

• Bachelor’s, Master or Ph.D. degree in Computer Science, a related technical field, or equivalent practical experience.
• Passionate about robotics and foundational models, with a strong desire to accelerate the application of Gemini robotics models in collaboration with external partners.
• Experience with applying robotics ML/AI research to real‑world problems and demonstrating impact.
• Solid Python and C++ programming experience in a production environment.

Preferred Qualifications:

• Experience in full‑stack development for production applications, including scoping, design, implementation, testing, debugging, release, and deployment.
• Proven ability to apply robotics ML/AI research to real‑world problems and demonstrate tangible impact.
• Collaborating experience with cross functional and cross organizational teams.
• A team player with a product mindset, a willingness to learn, and the ability to work closely with research and product colleagues—always focused on delivering value in real‑world applications.

The US base salary range for this full‑time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

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.