About Us

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 opportunities 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, maternity 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.

Snapshot

The role sits within Google DeepMind’s Compute Planning team.  The team is responsible for building and managing Google DeepMind’s extensive Machine Learning (ML) Hardware portfolio. 

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. 

We constantly iterate on our workplace experience with the goal of ensuring it encourages a balanced life. From excellent office facilities through to extensive manager support, we strive to support our people and their needs as effectively as possible.

Our list of benefits is extensive, and we’re happy to discuss this further throughout the interview process!

The role

As a Technical Program Manager in the Compute Planning team you will play a key role in the building and ongoing management of Google DeepMind’s extensive ML Hardware portfolio.

You will work alongside our Product Managers, Engineers and Researchers to help define and optimise DeepMind’s overall capabilities in this space. 

Key Responsibilities.

• Creating and scaling processes for collecting data on future ML hardware requirements, including next-gen ML accelerators and cloud infrastructure.
• Partnering with portfolio managers and data analysts to allocate capacity across projects effectively and in line with company priorities. 
• Providing best practices to researchers and engineers in areas such as resource availability, efficiency, scaling & performance.  
• Producing regular targeted communications to leadership, research and engineering teams
• Assisting with new ML hardware/software pilot programs.
• Developing and maintaining tooling (eg: dashboards, automation).
• Producing user guides, process documentation, and other forms of educational resources.
• Troubleshooting compute-related errors in various infrastructure platforms, in partnership with engineering teams.

About you

In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience: 

• Excellent technical understanding and communication ability, with the ability to distil sophisticated technical ideas to their essence
• Skilled at navigating, updating and defining complex processes
• Initiative to solve problems with solutions that are repeatable, scalable and sustainable.
• Proven strong stakeholder management skills
• Comfortable dealing with ambiguity and able to thrive in a dynamic environment. 
• A curiosity about Google DeepMind’s mission and AI / Machine Learning
• Flexible, adaptable and highly responsive to the needs of the project, team and wider group.

In addition, the following would be an advantage: 

• BS degree in Computer Science, Engineering, related fields or equivalent practical technical experience.
• Knowledge of data centre infrastructure and operations.
• Knowledge of cloud infrastructure 

If you don’t think you embody all of the above criteria, please still seriously consider applying! This role (and therefore the requirements) is broad, and we’d be excited to discuss how you see yourself contributing across it, in particular the opportunities to learn and grow on the job.

The US base salary range for this full-time position is between $122,000 - $186,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 12pm GMT Friday 1st November 2024 

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