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Senior Product Engineer, Machine Learning and GPU Accelerators

Google

27.11.2024

Tayvan

Tam Zamanlı

Hibrit

Deneyim: 6-10 Yıl


İlan Açıklaması

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.

Beceriler

e.g.
GPU
FPGA
ASIC
SQL
Python

Şirket Hakkında

Google Hakkında

Şirket Konumu: ABD

Hakkında
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.
 


İlan Özeti
27.11.2024 tarihinde Google tarafından yayınlanan Senior Product Engineer, Machine Learning and GPU Accelerators iş ilanına başvurmadan önce pozisyonla ilgili önemli detayların kontrol edilmesi gerekir. Bu ilan Tayvan konumu için açılmıştır. İlgili pozisyon için gereken deneyim süresi Deneyim: 6-10 Yıl arasında değişmektedir. Pozisyon Tam Zamanlı ve çalışma konumu Hibrit olarak belirlenmiştir. Google bu pozisyon için başvuran adaylardan aşağıdaki becerilere sahip olmalarını beklemektedir:
e.g.
GPU
FPGA
ASIC
SQL
Python
Bu becerilere sahip olmanız başvurunuzun dikkate alınma şansını artıracaktır.

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