Software Engineer, Model Lifecycle Engineering, Robotics, DeepMind

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages.
• 2 years of front-end web development experience using Typescript and Angular.
• Experience in back-end development (C++, Python).
• Experience with cloud AI/Machine Learning systems and tools (Kaggle, Tensor Flow, PyTorch, etc.).
• Experience in data analysis and working with large datasets or Large Language Model (LLMs).

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 1 year of experience with computer vision or robotics software.
• Experience developing accessible technologies.

About the job

At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.

As a part of the Model Lifecycle Engineering team at Google DeepMind Robotics, you will play a critical role in the mission to solve Artificial General Intelligence (AGI) in the physical world. You will 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 and accelerate the pace of innovation in robotics research.

You will contribute to building the future of robot learning and will work closely with research scientists, engineers, operations, Gemini Robotics trusted testers partners, and other stakeholders across Google DeepMind to develop and optimize the infrastructure that powers robotics research and enables partners to use models. You will be responsible for developing and maintaining the end-to-end software platform for robotics operations, data collection, visualization, benchmarking, and engagement with Gemini Robotics partners.

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

Responsibilities

• Write product or system development code.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Collaborate with researchers, engineers, operations, and Gemini Robotics partners to design, build and deploy features to a central platform to accelerate progress towards our mission.
• Identify workflow obstacles and develop features on the central platform to help to remove friction and accelerate research.
• Maintain the uptime and reliability of the central platform used for day-to-day robotics operations, including data visualization, fleet management, and performance leaderboarding.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.