Microsoft Hardware Engineer – Debug 

Taiwan, Taoyuan City 

264717949

Required Qualifications:

• 6+ years of technical leadership experience as a platform architect or validation architect or a lead debug engineer or equivalent industry experience.
• Understanding of modern server architectures – Memory or CPU or storage or system level firmware.
• Capable of technical deep dives into platform design, verification flows, operating systems, networking, and storage.
• Hands-on experience in scripting or query languages

Preferred Qualifications:

• Platform Debug and validation experience.
• Data analytical skills- Knowing how to use data based and analytical tools.
• Excellent communication skills using various forms of media.
• Able to plan work, and work to a plan adapting as necessary in a rapidly evolving Environment.
• Individual effectiveness skills such as discipline, time management, decision making, planning, and organizing work, summarizing results through technical reports.
• Self-driven, self-motivated individual must be able work independently as well as collaboratively in a team environment and across the team of engineers.

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

• Work on E2E @scale system level debug activities in the cluster to meet fleet KPIs.
• Strong understanding of Server architectures, Lead root cause analysis and debug efforts for Server nodes exhibiting performance degradation, firmware failures, or hardware anomalies.
• Collaborate with hardware, firmware, and software teams to enable comprehensive root cause analysis.
• Accountable to meet debug/ triage SLA.
• Identify, drive execution and E2E verification plans to proactively address open issues.
• Develop best in class debug methodologies, test strategies and platform validation plan for the at-scale clusters.
• Solve problems relating to mission critical services and develop automation to drive debug efficiency.
• Effectively communicate with partners and stakeholders for planning and progress on initiatives using data.