Tech Lead, Gemini Inference Performance, DeepMind
Google· DeepMind
London, UKfull-timePosted 2w ago
About the role
Technical leadership role focused on defining the roadmap and optimizing inference performance for Gemini; lead a team of performance engineers, drive optimization across ML frameworks, kernels, and serving infrastructure, and collaborate with research to balance latency, memory footprint, and costs.
Responsibilities
- Set the technical roadmap for a team of performance engineers, support and develop direct reports and drive prioritization across competing optimization opportunities — staying in the highest-leverage problems.
- Leverage roofline analysis, hardware-level profiling, and systems analysis to identify and eliminate performance bottlenecks across ML frameworks, compilers, custom kernels, and serving infrastructure on hardware accelerators.
- Apply a first-principles understanding of Transformer and Mixture-of-Experts model components to identify and prioritize opportunities to optimize their execution efficiency and memory footprint.
- Collaborate with research teams early in the development lifecycle to evaluate inference implications, modeling how architectural choices impact latency, memory footprint, and serving costs.
- Guide and contribute to the development of custom kernels and serving optimizations. Conduct deep performance profiling using hardware tracing tools to analyze accelerator utilization, memory bandwidth saturation, and interconnect latency across large-scale topologies.
Qualifications
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in a people management, supervision/team leadership role.
- 5 years of experience in a technical leadership role and overseeing projects.
Skills
Required:Technical leadershipPerformance optimizationTransformer and Mixture-of-Experts familiarityCollaboration with research
Last updated Oct 23, 2026. Interested? Apply on the company site.
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