Senior Director, Engineering, Cloud Tensor Processing Unit

Applications will be accepted through March 3, 2022.

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience

• 15 years of experience in engineering leadership

• Experience with CPU, GPU, and/or TPU architecture, as well as experience with XLA, MLIR, or similar infrastructure for building compilers

• Experience with technical innovation in computer architecture, compiler optimization, or related fields

Preferred qualifications:

• Advanced degree in Computer Science or a related technical field
• Experience developing infrastructure or solutions within large, complex, and cross-functional engineering environments
• Experience in reasoning and quantifying relative impacts and risks of technical work that could require the involvement of various engineers
• Experience engaging with executive stakeholders and managing varying opinions and viewpoints
• Knowledge of compiler internals and optimization techniques

About the job

Core Machine Learning (ML) is focused on driving ML excellence across Google and thereby bringing the best experience to users across the world. This organization within Core has brought together the company’s overall ML efforts, creating a more formal path for ML experimentation, development, and product realization. By aligning infrastructure initiatives with new areas of research and product innovation, we are able to best meet the challenges and opportunities of ML technology.

Machine learning has produced business and research breakthroughs ranging from network security to medical diagnoses. We built the Tensor Processing Unit (TPU) in order to make it possible for anyone to achieve similar breakthroughs. Google Cloud TPU is the custom-designed machine learning ASIC that powers Google products like Translate, Google Photos, Search, Google Assistant, and Gmail.

In this role, you will be responsible for leading the Google Cloud TPU Engineering team. The team is focused on building and maturing the Google Cloud TPU product, creating and supporting models on this infrastructure, and supporting the frameworks used by Google Cloud TPU customers. As a result, you will have an impact on how the Google Cloud TPU product is developed and will create relationships across many parts of the company.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

• Lead a growing engineering organization responsible for building the Google Cloud TPU product.
• Drive the vision for Google Cloud TPU by collaborating with partner Engineering teams within Core and across the company to ensure that the work is aligned with overarching goals of Core ML and Google.
• Own and set the strategy, roadmap, and implementation for multiple areas of focus, balancing short and long-term priorities against various business needs.
• Provide leadership in high stakes moments or situations that require complex and immediate triaging, technical problems, or other critical work.
• Understand the workflows of internal and external ML experts from Research and Product Development teams, and influence how Core ML can help them scale and achieve respective goals.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.