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Senior Product Engineer, Machine Learning and GPU Accelerators

Senior Product Engineer, Machine Learning and GPU Accelerators

1 Month ago • 8-10 Years • Manufacturing • Undisclosed

About the job

5 skills required for this role

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bash

python

sql

fpga

cross-functional

Job Description

This Senior Product Engineer role at Google focuses on machine learning and GPU accelerators within their custom-designed computing infrastructure. Responsibilities include owning the manufacturing plan, leading reviews between design and operations engineering, supporting pre-production builds, and ensuring factory readiness. The role requires leading technology assessments for new products, collaborating with the product team to influence design decisions, and working with Quality and Reliability Engineers to establish NPI and production goals. The ideal candidate will have extensive experience in supply chain development in manufacturing and test, working with ODMs, contract manufacturers, and component suppliers for data center server-type products. Strong problem-solving skills and experience in root cause analysis are essential.

Must have:

8+ years experience in supply chain development
Experience with ODMs, contract manufacturers, and component suppliers
Experience with data center server type products
Lead manufacturing plan and reviews
Support pre-production builds and factory readiness
Root cause analysis and continuous improvement

Good to have:

Master's degree in Electrical Engineering
Experience with GPU, FPGA, or ASIC accelerator products
Experience with bring-up or bench testing hardware
SQL queries and scripting in Python or Bash

Minimum qualifications:

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.

Preferred qualifications:

Master's degree in Electrical Engineering, or a related field.
10 years of experience at a company developing supply chains in manufacturing and test.
Experience working with ODMs, contract manufacturers and component suppliers for data center server accelerator products (e.g., GPU, FPGA, or ASIC).
Experience working with contract manufacturers and suppliers to drive root cause analysis, corrective actions, and continuous process improvements.
Experience with bring-up or bench testing hardware in a lab environment.
Knowledge of SQL queries and scripting in Python or Bash.

About the job

Google's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

Own the manufacturing plan, lead reviews between Design and Operations Engineering to drive deliverables that are key to implementing the manufacturing plan.
Provide support for pre-production builds, ensure factory readiness, support manufacturing line bring-up, provide product debug training, and gather feedback on build issues.
Lead the technology assessment for new products. Co-work with the product team to influence design decisions, highlight manufacturing risks, and develop mitigation plans.
Collaborate with Quality and Reliability Engineers to establish NPI and production goals for yield and long term reliability, and validate product qualification plans, support reliability testing, and review results to ensure product performance meets requirements.
Lead cross-functional team towards resolution of component/build quality excursions during NPI phases.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.