Technical Program Manager, Compute Management, DeepMind

Job description

Minimum qualifications

Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering, related technical field, or equivalent practical experience. 2 years of experience in program management.

Preferred qualifications

Background in technical program management, capacity planning, or large-scale ML infrastructure operations, backed by direct proficiency with SQL, Python, and quantitative capacity modeling. Advantageous background includes a relevant technical degree, familiarity with cluster scheduling and distributed ML infrastructure, data center knowledge, and experience building lightweight workflow automation. Excellent technical communication skills to distill complex ideas, along with expertise in navigating cross-functional processes and solving problems with repeatable, scalable solutions.

Strong stakeholder management abilities with comfort to thrive and adapt in dynamic environments aligned with DeepMind's mission. About the job Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise.

You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

The role sits within DeepMind’s Compute Planning team. The team is responsible for building, allocating, and managing DeepMind’s extensive Machine Learning (ML) accelerator and compute portfolio across TPU and GPU clusters supporting Gemini pre-training, post-training, evaluations, and serving. As a Technical Program Manager in the Compute Planning team, you will play a key role in the planning, allocation, and ongoing management of DeepMind’s extensive ML compute portfolio.