Google's ML Supply Chain and Operations (MLSCO) team needs to ensure the successful deployment of machine learning capacity in Google's Fleet by leading cross-functional program planning and execution to deliver next-generation machine learning systems from concept to End of Life (EOL) with operational excellence and speed. This role will contribute to shaping the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration for Google's direct-to-consumer products.
Requirements
- Experience in PCBA (Printed Circuit Board Assembly) and related system assembly.
- Experience in design for manufacturability and serviceability.
- Experience working with Original Design Manufacturers (ODMs), contract manufacturers and component suppliers for data center server accelerator products (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.
Responsibilities
- 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.
- Validate product qualification plans, support reliability testing, and review results to ensure product performance meets requirements.
- Lead a cross-functional team towards resolution of components and build quality excursions during new product introduction build phases.
- Provide on-site and remote support for pre-production builds, manage the bone pile, and drive yield bridge analysis to improve product quality.
- Ensure factory readiness, support manufacturing line bring-up, provide product debug training and gather feedback on build issues.
Other
- 5 years of experience in manufacturing.
- 5 years of experience at a company developing supply chains in manufacturing and test.
- Bachelor's degree in Engineering or equivalent practical experience.
