Staff Software Engineer, Inference Performance Optimization, GenAI, DeepMind

At 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 an Inference Performance Engineer, you will push the boundaries of AI model execution at scale. In this role, you will be at the forefront of making large-scale AI inference faster, cheaper, and more efficient. You will analyze the entire inference stack to identify critical bottlenecks and drive systemic improvements.

By combining deep systems profiling, benchmarking, and first-principles problem solving, your work will directly maximize hardware throughput, reduce cost-to-serve, and empower our cross-functional teams to make data-driven capacity and latency tradeoffs.

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