Google's Machine Learning Supply Chain and Operations (MLSCO) team is responsible for the deployment of Machine Learning capacity in Google's Fleet. MLSCO-NPI leads 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. The Product Engineering team is looking for engineers to solve complex problems to bring designs to life and make advanced technology work at a massive scale.
Requirements
- Experience in PCBA (Printed Circuit Board Assembly) and related system assembly.
- Experience in design for manufacturability and serviceability.
- Experience working with Original Device 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 of 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 New Product Introduction (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 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 bonepile and drive yield bridge analysis to improve product quality.
Other
- 8 years of experience in manufacturing.
- Bachelor's degree in Engineering or equivalent practical experience.
- Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field.
- 10 years of experience at a company developing supply chains in manufacturing and testing.
