Microsoft Software Engineer II 

Taiwan, Taoyuan City 

32895143

As a Software Engineer II, you will be critical in designing and delivering the next generations of AI training, AI inferencing, virtual desktop, video and gaming infrastructure for Azure. You will be challenged across a wide spectrum of hardware architectures, network types and processor types. You will part of delivering an end-to-end vertical view, with continuous focus on customer value, quality, performance and automation.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 2+ years of experience working directly with customers - optimizing systems, troubleshooting, RCAs, and benchmarking
• 2+ years of full stack benchmarking experience - hardware, tool creation, data analysis, and recommendations

Other Requirements:

• 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.

Preferred Qualifications:

• Bachelor's Degree in Computer Science
  • OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python
  • OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until October 3, 2025.

• Willing to dive deeply into any level or layer of a problem. Willing to learn emerging technologies, from hardware to software.
• Evaluate and make recommendations that advance Azure infrastructure for AI and other GPU-based workloads.
• Produce extensible and maintainable code. Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI). Applies metrics to drive the quality and stability of code, as well as appropriate coding patterns and best practices.
• Identification of dependencies and the development of design documents for a product, application, service, or platform.
• Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
• Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.