Research Engineer, Applied Robotics, DeepMind

About the Job

We are seeking a Robotics Research Engineer to join our Robotics Engineering team. As a Robotics Research Engineer, you will interface the latest robotic platforms with our Artificial Intelligence approaches such as Visual-Language-Action models. You will develop software libraries, implement controllers, run learning experiments, and solve stimulating robotics problems.

You will work on making our latest models and research results available to high-profile partners under our Trusted Tester Program. This includes developing our software ecosystem, engaging with partners to understand their applications, interfacing robotics platforms with agents, upstreaming data, fine-tuning models, and engaging with research teams to improve model performance. This role will require, at least part-time, lab or office presence and occasional willingness to travel around two to four times a year.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.

Responsibilities

• Develop libraries and software development toolkits (SDKs) for the interaction of agents and robots.
• Integrate robotic platforms for internal and external use cases.
• Apply and improve robotic agents.
• Work with research scientists to improve our models.
• Coordinate with our internal robotics lab and external customers on data collection and model deployment.

Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in Python or C++.

Preferred qualifications:

• Experience in developing or applying models (e.g., LLMs, VLAs etc.) to robotics.
• Experience collaborating with software engineers, artificial intelligence (AI) researchers, external partners, and other stakeholders.
• Experience with robotics systems, debugging issues, and working with real robots.
• Experience using datasets with deep neural networks for robots, and with cloud infrastructure.
• Familiarity with Robot Operating System 2 (ROS2) or robot manufacturers’ APIs.
• Familiarity with open-source software and tools related to deployment.