Senior Product Engineer, Machine Learning and GPU Accelerators

Google develops and maintains global technical infrastructure, including data centers and platforms, providing powerful computing infrastructure worldwide.
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI

Description For Senior Product Engineer, Machine Learning and GPU Accelerators

Google is seeking a Senior Product Engineer specializing in Machine Learning and GPU Accelerators to join their Technical Infrastructure team. This role is crucial in maintaining Google's powerful computing infrastructure, one of the largest in the world. The position involves working with the Manufacturing Operations team to deliver state-of-the-art physical infrastructure.

As a Manufacturing Engineer, you'll be responsible for evaluating product designs and creating processes for Google's infrastructure. You'll work closely with vendors during parts manufacturing, ensuring processes are repeatable and controlled. Collaboration with Commodity Managers and Design Engineers is essential to determine infrastructure needs and product specifications.

The role requires deep expertise in supply chain development, manufacturing, and test processes, with a focus on data center server accelerator products. You'll lead manufacturing plans, support pre-production builds, and drive technology assessments for new products. The position demands strong technical skills, including knowledge of SQL and Python, combined with the ability to lead cross-functional teams.

This is an excellent opportunity for someone passionate about hardware engineering and manufacturing at scale. You'll be part of the team that keeps Google's networks running optimally, ensuring users have the best possible experience. The role offers the chance to work with cutting-edge technology while solving complex manufacturing challenges in a collaborative environment.

The ideal candidate will have 8+ years of experience in supply chain development, with a background in Electrical Engineering. They should be comfortable working with ODMs, contract manufacturers, and component suppliers, particularly in the context of data center server accelerator products like GPUs, FPGAs, or ASICs.

Last updated a month ago

Responsibilities For Senior Product Engineer, Machine Learning and GPU Accelerators

  • Own the manufacturing plan, lead reviews between Design and Operations Engineering
  • Provide support for pre-production builds, ensure factory readiness, support manufacturing line bring-up
  • Lead the technology assessment for new products
  • Collaborate with Quality and Reliability Engineers to establish NPI and production goals
  • Lead cross-functional team towards resolution of component/build quality excursions during NPI phases

Requirements For Senior Product Engineer, Machine Learning and GPU Accelerators

Python
  • Bachelor's degree in Electrical Engineering, related disciplines or equivalent practical experience
  • 8 years of experience at a company developing supply chains in manufacturing and test
  • Experience working with Original Device Manufacturers (ODMs), contract manufacturers and component suppliers for data center server type products
  • Knowledge of SQL queries and scripting in Python or Bash

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