Microsoft Sr AI HW Quality Engineer 

Taiwan, New Taipei, New Taipei 

534310566

Required Qualifications:

• 12+ years relevant technical engineering experience
  • OR Bachelor's Degree in Mechanical Engineering, Materials Engineering, Reliability Engineering, Electrical Engineering, or related field AND 5+ years technical engineering experience
  • OR Master's Degree in Mechanical Engineering, Materials Engineering, Reliability Engineering, Electrical Engineering, or related field AND 4+ years technical engineering experience
  • OR Doctorate Degree in Mechanical Engineering, Materials Engineering, Reliability Engineering, Electrical Engineering, or related field AND 2+ years technical engineering experience.
• 8+ years of work experience in managing manufacturing quality in the electronic industry.
• 5+ years of direct engineering experience in hardware system issue resolution for GPU Servers.
• Versed in filtering through applicable debug data, like telemetry and logs to identify and investigate HW failure signatures

Preferred Qualifications:

• Bachelor's Degree in manufacturing, material, mechanical, electrical, and industrial engineering, or related field AND 7+ years experience in a manufacturing environment/repair
• OR Master's Degree in manufacturing, material, mechanical, electrical, and industrial engineering, or related field AND 6+ years experience in a high-volume manufacturing environment
• OR Doctorate in manufacturing, material, mechanical, electrical, and industrial engineering, or related field AND 3+ years experience in a manufacturing environment/repair
• OR 9+ years equivalent experience.
• Patent or track record of engineering excellency.
• 12+ years of experience in working with the modern server architectures – includes understanding of GPU, CPU methods for failure analysis, debugging or validation.
• 8+ years of system level server debugging with an understanding of power, system and network environments
• 3+ years of direct GPU related engineering experience in issue debug/test log review.
• Leadership skills and ability to collaborate with diverse teams and drive a call to action.
• Expert of root cause analysis and corrective action methods to identify contributing factors of production defects.
• Ability to analyze large data sets, extract key insights, and effectively present and communicate the results.
• Proficient communication and project management skills.

• Develop and implement a robust supplier quality management strategy to ensure the data center hardware is manufactured at the highest level of quality standards.
• Lead quality issues and improvement task force to contain, mitigate, and resolve the top-quality issues impacting global data centers.
• Conduct debug and failure analysis for GPU subsystems in the Azure fleet and drive resolution with partners and suppliers.
• Drive the continuous improvement process based on Root Cause Analysis (RCA) and identified opportunities.
• Responsible for quality readouts based on your telemetry data analysis, to bring clarity on status, actions across the organization and next steps for issue resolution.
• Establish Critical-to-Quality performance metrics to measure and improve product quality.
• Act as the voice of quality in the hardware change management process, ensuring quality requirements are considered and met and improved.