Software Engineer, Applied Robotics

DeepMind

Mountain View, CA

Full Time

Mid Level

26 days ago

Job Description

About the Role

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. They collaborate closely with top-tier embodied AI researchers and robotics industry leaders to develop innovative, robust, and flexible software solutions that support research and partner projects. The team focuses on scalable learning approaches, safe and data-efficient sensorimotor skill improvement, and autonomous agents capable of understanding and acting in human-centered environments. As part of Google Deepmind Robotics, they aim to revolutionize robotics through machine learning advances, including large language models and perception technologies.

Key Responsibilities

Work closely with robotics partners and trusted testers to bring state-of-the-art Gemini robotics models to real-world applications.
Build and maintain reliable, flexible, and easy-to-use infrastructure for robotics partners and trusted testers to develop customized models and applications with Gemini Robotics models.
Analyze, identify, and resolve system bottlenecks and tackle novel engineering challenges throughout the full system stack.
Collaborate with robotics and GDM-wide infrastructure teams to define short- and long-term infrastructure roadmaps.
Provide engineering insights into research projects and understand partner application needs to inform tool development.

Requirements

Passionate about robotics and foundation models, eager to accelerate application of Gemini robotics models with external partners.
Experience with Google and Deepmind frameworks for model training, evaluation, workflow management, and data processing, or experience with development in Google Cloud and One platform.
Solid Python and C++ programming experience in a production environment.
A team player with a product mindset, willingness to learn, and ability to work with research and product colleagues to deliver value in real-world applications.

Nice to Have

Bachelor's, Master, or Ph.D. degree in Computer Science, a related technical field, or equivalent practical experience.
Full-stack development experience including scoping, design, implementation, testing, debugging, releasing, and deployment.
Experience applying robotics ML/AI research to real-world problems and demonstrating impact.
Collaboration experience with cross-functional and cross-organizational teams.

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