At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
At DeepMind Robotics, we are dedicated to solving physical AGI. We are a team of scientists and engineers working together to advance the artificial intelligence, ultimately enabling autonomous agents to safely act in complex, human-centered environments. You will build AI agents that can interact with, learn from, and adapt to their physical/digital environments. You will own the full lifecycle from research prototype to partner deployment advancing core learning systems, building the developer ecosystem, and working directly with partners to put intelligent robots into real environments. The defining issue: closing the gap between what our models can do in simulation and what our robots actually do in the world. This is a role where your work has physical presence the code you write moves robots, the systems you build help them learn, and the tools you create put them in the hands of developers worldwide.
Artificial intelligence will be one of 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build and iterate on frontier AI agents that operate in physical environments.
- Design and scale the learning infrastructure that powers embodied AI research.
- Collaborate closely with external partners to understand their environments, deploy DeepMind solutions, and feed real-world insights back into model development.
- Build developer-facing APIs, SDKs, and tools that make our robotics capabilities accessible to external developers and partners.
Qualifications
Minimum qualifications:
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
- 5 years of experience in a technical/engineering related role.
- Experience building robotics infrastructure, distributed training frameworks, evaluation tools, and data systems.
- Experience with Python or C++.
- Experience with agentic workflows.
Preferred qualifications:
- 3 years of experience with robotic hardware or simulation environments.
- Experience with on-device inference and deploying learned policies onto physical robots.
- Experience across the robotics full stack: controls, runtime software, robotic foundation models, navigation, and hardware bring-up.
- Strong communication and cross-functional collaboration skills.
- Passion for physical intelligence with an open, exploratory mindset.