Senior Industrial Engineer

NVIDIA•Santa Clara, CA

About The Position

We are now looking for a Senior Industrial Engineer in the NVIDIA Industrial Engineering team! The team is responsible for Capital expenses, cycle time and process improvement across all business units. Your major focus will team up with our Operations processing teams to enhance supply chain performance. We are looking to hire a creative, analytical, and hands-on senior level Industrial engineer to enable scalability and growth of Nvidia Operations. You will be a key multi-functional lead collaborating with our Manufacturing suppliers and teams across Nvidia Operations, Manufacturing, Supply Chain, Engineering, Finance and the Business/Marketing teams. What You'll Be Doing: Work closely with engineering managers, hardware/test/manufacturing engineers, supply chain planners and our suppliers to develop optimized automation, cycle time and workflow. Work independently with minimum supervision across a broad spectrum of engineering organizations to gather raw data and structure it into system process flows Successfully operate throughout the management chain and across all vertical business units to prepare and supervise performance against operational objectives Implement & drive key critical Cycle time improvements, automation efforts and process changes across multi-functional teams Help drive benchmarking activities and marketing plan development to provide insightful analysis and to highlight business profitability and opportunities for earnings improvement Prepare and analyze capacity and inventory dashboards reports for Operations management and functional engineering groups. Develop algorithms and models for supply chain optimization and capacity planning. Time-series forecasting and supply optimization

Requirements

Ability to communicate in a pan pacific environment with strong collaborative and interpersonal skills
Validated ability to effectively guide and influence within a dynamic matrixed environment
Validated leadership skills, discernment, and ability to lead and operate at both a process center level and overall total system level
BS or MS in Engineering, Industrial engineering (or equivalent experience)
8+ years' validated ability in semiconductor and/or Board systems manufacturing, computer science, and other related engineering fields.
Hands-on experience in working with semiconductor, chip packaging, and chip testing and distribution
Experience working with manufacturing shop floor control and business system’s a plus.

Nice To Haves

Strong history of success in similar environments with experience in semiconductor or data center products environment
Use of discrete modeling and other process modeling tools
Experience with Splunk Data Science/ML

Responsibilities

Work closely with engineering managers, hardware/test/manufacturing engineers, supply chain planners and our suppliers to develop optimized automation, cycle time and workflow.
Work independently with minimum supervision across a broad spectrum of engineering organizations to gather raw data and structure it into system process flows
Successfully operate throughout the management chain and across all vertical business units to prepare and supervise performance against operational objectives
Implement & drive key critical Cycle time improvements, automation efforts and process changes across multi-functional teams
Help drive benchmarking activities and marketing plan development to provide insightful analysis and to highlight business profitability and opportunities for earnings improvement
Prepare and analyze capacity and inventory dashboards reports for Operations management and functional engineering groups.
Develop algorithms and models for supply chain optimization and capacity planning.
Time-series forecasting and supply optimization