Research Engineer, Applied Robotics

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 enables 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.

• 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.

• 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.