Senior Product Engineer, Machine Learning and GPU Accelerators

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 Senior Product Engineer specializing in Machine Learning and GPU Accelerators, you will evaluate product designs and create processes, tools, and procedures behind Google's powerful search technology. You'll work closely with vendors building parts for our infrastructure, ensuring manufacturing processes are repeatable and controlled. Collaboration with Commodity Managers and Design Engineers is key to determine Google's infrastructure needs and product specifications. Your work will ensure the various pieces of Google's infrastructure fit together perfectly and keep our systems running smoothly for a seamless user experience.

Key Responsibilities:

1. Own the manufacturing plan and lead reviews between Design and Operations Engineering.
2. Provide support for pre-production builds and ensure factory readiness.
3. Lead technology assessment for new products and influence design decisions.
4. Collaborate with Quality and Reliability Engineers to establish NPI and production goals.
5. Lead cross-functional teams to resolve component/build quality issues during NPI phases.

Requirements:

• Bachelor's degree in Electrical Engineering or related field (Master's preferred).
• 8-10 years of experience in developing supply chains for manufacturing and testing.
• Experience with ODMs, contract manufacturers, and component suppliers for data center server products, especially GPU, FPGA, or ASIC accelerators.
• Knowledge of root cause analysis, corrective actions, and continuous process improvements.
• Experience with hardware bring-up or bench testing in a lab environment.
• Familiarity with SQL queries and scripting in Python or Bash.

Join Google's Technical Infrastructure team and be part of the engineering backbone that makes Google's product portfolio possible. This role offers the opportunity to work on cutting-edge technology and contribute to one of the world's most advanced computing infrastructures.