Sr. Staff Product Engineer - Networking & Connectivity

Santa Clara, CA

Onsite | Hybrid

Strong skill in transforming complex data analytics into high-level presentations Career history showing use of ATE (ideally 93K) to perform silicon analysis and debug Solid foundation in applied statistics for product characterization and quality improvement Familiarity with data analytics tools such as JMP and SiliconDash Strong schedule management and optimization skills (interest in process automation is a plus) Bachelor's degree in Computer Science, Engineering

As a Sr. Staff Product Engineer within the Networking & Connectivity team, you are recognized as a technical leader in Ethernet and Automotive products. You are not simply assigned products to manage you own them leading and support it throughout the full end-to-end lifecycle.

In this role you will

• Report NPI progress toward MPR in weekly, cross-functional meetings w/ upper management
• Quantify and enforce DPPM, quality, and performance requirements for all products assigned
• Align cross-functional engineering teams to full-closure solutions in problem-solving efforts
• Propose and defend product cost and quality improvements
• Execute and/or coordinate test operations activities
• Plan and drive strategic initiatives with upper management

What We're Looking For

Skills and Background requirements:

• Deep understanding of end-to-end product lifecycle and strategic cost management
• Demonstratable expertise in Root Cause Analysis
• Strong skill in transforming complex data analytics into high-level presentations
• Career history showing use of ATE (ideally 93K) to perform silicon analysis and debug
• Solid foundation in applied statistics for product characterization and quality improvement
• Familiarity with data analytics tools such as JMP and SiliconDash
• Strong schedule management and optimization skills (interest in process automation is a plus)

Education and Experience requirements:

• Bachelor's degree in Computer Science, Electrical Engineering or related fields and 10-15 years of related professional experience, preferably within the SEMI/IC industry
• OR
• Master's degree and/or PhD in Computer Science, Electrical Engineering or related fields with 5-10 years of professional experience, preferably within the SEMI/IC industry