Microsoft Principal Software Engineer 

Taiwan, Taoyuan City 

867548258

We are seeking passionate and innovative software engineers to design and build cutting-edge networking infrastructure that powers large-scale AI training. This role focuses on developing next-generation networking capabilities to ensure high performance, low latency, and minimal jitter for distributed AI workloads. You will play a critical role in enabling state-of-the-art AI systems to achieve their full potential.

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

• Networking & Infrastructure Expertise:

  • 2+ years of experience with networking protocols (Ethernet, TCP/IP, RDMA, gRPC, Infiniband), network virtualization, SDN, and performance tuning.

  • Experience in managing live site operations for large-scale, mission-critical network infrastructure (e.g., data center networks, cloud interconnects, or AI supercomputing fabrics)

  • Experience with network monitoring, telemetry, alerting systems, and operational readiness practices to maintain uptime and service reliability at scale.

• Distributed Systems & Engineering Leadership:

  • Experience in designing, building, and scaling large, fault-tolerant distributed systems and of system design, architecture, and high-availability engineering practices.

Other Qualifications:

• 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 10+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

• AI & Hardware Integration:

  • Familiar with AI accelerators like GPUs (NVIDIA, AMD) and TPUs, and their interaction with networking infrastructure. Experienced with telemetry and observability tools for large-scale network monitoring.

• Programming & Mentorship:

  • Proficient in modern programming languages (e.g., C++, Java, C#, Python, Go, Rust). Demonstrated ability to lead technical initiatives and mentor engineers across various levels.

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 20, 2025.

• Partner with appropriate stakeholders to determine user requirements for a set of scenarios.
• Lead identification of dependencies and the development of design documents for a product, application, service, or platform.Leads by example and mentors others to produce extensible and maintainable code used across products.
• Design, develop, and optimize networking solutions tailored for large-scale AI training infrastructure. Architect and implement high-performance, low-latency, and low-jitter communication frameworks for distributed systems.
• Benchmark, analyze, and enhance the scalability and reliability of networking systems to handle petabyte-scale data transfer.Debug and resolve complex networking issues in large-scale, high-performance environments.
• Drive identification of dependencies and the development of design documents for a product, application, service, or platform.
• Create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
• Act 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.
• Proactively seek new knowledge and adapts to new AI trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.