Snapshot
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.
The Role
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.
Key responsibilities:
- Design, implement, and optimize critical software components for our secure API ecosystem, including on-device APIs and SDKs.
- Develop and maintain the infrastructure for a large-scale developer API ecosystem, ensuring scalability, reliability, and security.
- Identify, implement, and enhance on-device security features to protect our models and user data in a rapidly evolving environment.
- Collaborate with security engineers, researchers, and product managers to define and implement a robust security posture for the entire platform.
- Partner closely with the GDM Security team to define security roadmaps for robotics agents and jointly drive innovation in this field.
About You
In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:
- Master’s degree or PhD in a related field or equivalent experience.
- 5 years of experience with software development in one or more programming languages.
- Strong C++ and Python development skills, including systems, API and tests design, performance analysis and optimization.
- Experience with developing, maintaining, debugging and optimizing in a large codebase and complex systems.
- Experience with API design, development, and building secure systems.
In addition, the following would be an advantage:
- Hands-on experience with robotics or on-device development.
- Experience building developer ecosystems, platforms, or SDKs.
- Experience with security engineering, including concepts like sandboxing, policy enforcement, and threat modeling.
- Familiarity with hardware & software security features of embedded systems and embedded computing devices (encryption, Secure Boot…).
- Familiarity with the security challenges of AI and agentic systems.
- Experience with machine learning and AI systems.
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.