Microsoft Senior Software Engineer 

Taiwan, Taoyuan City 

636456534

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.

Required 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 equivalent experience.
• 2+ years of understanding of networking protocols (e.g., Ethernet, TCP/IP and RDMA etc.) and distributed systems.
• 2+ years of experiences with network virtualization, software-defined networking (SDN), or network performance tuning.

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 ScienceOR related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript,orPython
  • OR Master'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.
• 1+ years of hands-on experience with networking technologies in AI-specific hardware (e.g., InfiniBand, ROCE, NVLink).
• 1+ years experience with AI accelerators such as GPUs (NVIDIA, AMD) or TPUs, and how they interact with networking infrastructure.
• 1+ years of experience with telemetry and observability tools for network monitoring at scale with a background in building scalable and fault-tolerant systems in large, distributed environments.
• 1+ years of experience in Linux operating systems, including kernel-level networking, performance tuning, and debugging.

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 May 29, 2025.

• 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.