Senior Product Engineer, Machine Learning and GPU Accelerators

Google develops and maintains global technical infrastructure, including data centers and platforms, powering its extensive product portfolio.
Machine Learning
Staff Software Engineer
In-Person
8+ years of experience
AI

Description For Senior Product Engineer, Machine Learning and GPU Accelerators

Google's Manufacturing Operations team seeks a Senior Product Engineer to join their Technical Infrastructure division. This role is crucial in developing and maintaining Google's powerful computing infrastructure, focusing on machine learning and GPU accelerators. The position involves working with cutting-edge hardware, managing manufacturing processes, and ensuring the seamless integration of Google's infrastructure components.

As a Manufacturing Engineer, you'll be at the forefront of evaluating product designs and creating processes for Google's state-of-the-art physical infrastructure. You'll work closely with vendors, Commodity Managers, and Design Engineers to ensure manufacturing processes are controlled and repeatable. The role requires expertise in supply chain development, manufacturing test processes, and experience with data center server accelerator products.

The ideal candidate will have extensive experience in manufacturing operations, preferably with a Master's degree in Electrical Engineering or related field. You'll be responsible for leading technology assessments, managing pre-production builds, and driving resolution of quality issues. This position offers the opportunity to work with one of the largest computing infrastructures globally, making a direct impact on Google's product portfolio.

The role combines technical expertise with leadership skills, requiring collaboration across multiple teams to ensure product quality and manufacturing efficiency. You'll be part of a team that takes pride in being "engineers' engineers," working on cutting-edge technology that powers Google's services worldwide. This position offers the chance to work with advanced hardware systems while contributing to the continuous improvement of Google's manufacturing processes.

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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