Microsoft Senior Network Systems Engineer 

Taiwan, Taoyuan City 

946162481

Required Qualifications:

• Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience
  • OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience
  • OR equivalent experience.
• 8+ years of relevant experience in system (compute,networking, and/or accelerator) level design and/or implementation across the hardware development lifecycle.
• 5+ years of hands-on experience in developing AI/ML scale up and scale out networking for accelerator-based hardware systems, as well as developing MAC/PCS and SERDES for high-speed interfaces and high-density connectivity equipment.
• 5+ years of experience to work across multiple disciplines (hardware, firmware, software, and/or data center infrastructure) toidentify

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:

• 8+ years ofexperience developing GPU, FPGA basedaccelerator platforms for AI/ML used cases
• Great to have proventrack recordof bringing up, integrating, and deploying new hardware technology.
• Knowledge of high-volume silicon (SoCs, GPUs, or FPGAs),compute, storage, and/or networking design, manufacturing, and deployment.
• Understanding on Networking hardware - QSFP-dd cables, DACs, AECs, Cable Backplanes, NICs, PHY, Switches
• Ability to define validation test cases to qualify end to end network across functionality,performanceand scale testing
• Ability to trouble shoot network issues at multiple layers - Physical layer, Datalink and Network Layer, Protocol layer
• Great to have: Understanding on AI Network, Network Collectives, Traffic profiles in AI networks, Ultra Ethernet
• Knowledge about datacenters & operations at scale.
• Experience managing hardware programsthroughthe entire product lifecycle.
• Strong verbal and written communication and presentation skills.

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 23rd, 2025.

• silicon engineering, firmware, hardware design, hardware validation, OS (operating systems), manufacturing, and customer teams to buildstate-of-the-artaccelerator hardware solutions.
• Participatein architectural discussions and evaluatenetworking performancerequiredto meet the demands of AI/ML workloads
• Analyze new interfaces and subsystems to develop integrationplans, analyze power efficiency, debug integration issues, and provide recommendations.
• Define systembehavior and concept of operations for the platform to ensure compatibility with Microsoft Azure datacenter software, serviceability, telemetry, and customer expectations.
• Perform NUDD (new, unique,differentand difficult) technology and feature analysis and provide risk assessment and mitigations.
• Drive technical requirements and ensure the solution is flexible and scalable across the full (HW/FW/SW) stack.
• Enable platform and solution level discussions, influencing architecture of the product, anddelivering toproduct goals across quality, reliability,and performance.
• Collaborate with internal, external, and open-source partners to onboard innovative technologies in a seamless manner.