Contribute to securing the future of robotics applications by developing a robust software stack that integrates advanced AI models and ensures resilience against security threats.
The Google DeepMind Robotics team’s mission is to solve AGI in the physical world. As we build robotics agents that move from the lab into our daily lives, ensuring their security, integrity, and reliability is key. We are looking for an exceptional software engineer to help pioneer this effort and build the secure platform that will define the future of robotic applications.
As a Software Engineer focused on Robotics Security, you will be the critical link between hardware, embedded software, developer APIs, and our advanced Gemini Robotics agentic models. You will work closely with researchers and engineers to build and improve the end-to-end software stack for our AI agents, with a strong focus on security and developer experience. You will help ensure our robotics agents are resilient against advanced threats. The software you build and maintain will not only advance our scientific research, but also drive real-world applications for partners and customers.
In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:
In addition, the following would be an advantage:
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.
DeepMind develops advanced artificial intelligence systems that push the boundaries of what's possible. We cater to a diverse range of scientific communities and industries, focusing on creating AI technologies that can tackle significant global challenges and drive public benefit. Our distinctive approach combines deep learning and reinforcement learning with insights from neuroscience, fostering a culture of innovative research and collaboration.
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