Staff Silicon Product Engineer (Automotive)

TL;DR

Staff Silicon Product Engineer (Automotive): Leading the productization of advanced ASICs and domain-specific architectures for autonomous driving platforms with an accent on silicon bring-up, characterization, and high-volume production ramp. Focus on defining system-level test strategies, performing root-cause analysis for field failures, and optimizing yield through large-scale data analytics.

Location: Taipei City (Hybrid). Requires approximately 10% travel to vendor sites in Taiwan and bring-up activities in California.

Salary: $5,200,000–$6,000,000 TWD

Company

Waymo is an autonomous driving technology company dedicated to building the world's most trusted driver to improve mobility and safety.

What you will do

• Lead the productization of advanced ASICs and domain-specific architectures from bring-up through high-volume production.
• Define system-level test content, hardware strategies, and screening criteria to ensure silicon reliability.
• Drive root-cause analysis for field returns and RMAs by correlating system telemetry and manufacturing data.
• Execute hands-on silicon debug using lab equipment, schematics, and firmware traces to establish operating limits.
• Develop statistical analysis and data mining workflows to identify yield limiters and improve product health.
• Collaborate with architecture, validation, and supplier teams to correlate lab and manufacturing data.

Requirements

• Master’s degree or PhD in Electrical Engineering, Computer Engineering, or a related technical discipline.
• 10+ years of experience in silicon product engineering, bring-up, characterization, or yield debug.
• Hands-on experience bringing up complex semiconductor products from engineering samples to production.
• Proficiency in data analysis and automation using Python, SQL, or equivalent tools.
• Ability to interpret schematics, silicon specifications, and system-level logs.
• Experience with system-level test, platform validation, or workload-based stress testing.

Nice to have

• Experience with AI/ML accelerators, TPUs, GPUs, or automotive-grade silicon.
• Knowledge of high-speed interfaces like PCIe, Ethernet, or MIPI.
• Experience debugging interactions across the full stack including OS kernel, drivers, and firmware.
• Background in applying machine learning or advanced analytics to automate silicon characterization.

Culture & Benefits

• Participation in a discretionary annual bonus program and equity incentive plan.
• Comprehensive company benefits program.
• Opportunity to work on one of the world's highest-performance automotive compute platforms.
• Collaborative, multidisciplinary environment focused on autonomous driving technology.