TPU Software Area Tech Lead, Cloud Platforms

2 weeks ago


Taiwan Google Full time
info_outlineXGoogle welcomes people with disabilities.
Minimum qualifications:
  • Bachelor's degree in Engineering, Computer Science, or equivalent practical experience.
  • 8 years of experience in software development and programming languages in C, C++.
  • 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
  • 5 years of experience with design and architecture and testing or launching software products.
Preferred qualifications:
  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • 9 years of experience with data structures and algorithms.
  • 6 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 5 years of experience working in an organization involving cross-functional, or cross-business projects.


About the jobWe develop and integrate the full stack software that enables TPU to run AI computation in Google's data centers, and thus empowering all the AI innovations for Google and Cloud customers.We play a key role in the introduction of each new TPU AI server, from design, system bring up, to productionisation of TPU chips, individual AI servers, and AI hyper computers including thousands of machines. We are involved in all stages of the project from concept, planning, development, deployment, and end of life in the data centers.

As TPU Software Area Tech Lead, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects. We need our engineers to display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.



Responsibilities
  • Provide technical leadership on projects across a domain of technical areas like firmware, driver, system software, distributed systems. Align strategy, processes, and decision-making across teams.
  • Influence and coach a distributed team of engineers.Develop the technical direction and road-map within the scope of your (often multiple) team(s). Evolve the road-map to meet anticipated future requirements and infrastructure needs.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Design, guide and vet systems designs, and write product or system development code to solve problems.
  • Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance software solutions and ensure standard procedures (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).


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