- Microsoftcorporation
- Mountain View, CA
- 18 days ago
AI Networking.
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AI Networking: our view in 3 lines...
- The Role:This role is for a network engineer who designs and scales high-performance networking systems that connect large clusters used to train AI models.
- The Person:The person will design and scale distributed Ethernet and InfiniBand fabrics, tune ROCE transport and congestion control, benchmark and debug AI training clusters, and partner with NVIDIA, Broadcom and internal teams on network architecture.
- Requirements:The ideal candidate has a Bachelor's Degree in Computer Science or related technical field and 6+ years technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python.
About the role
Overview
Microsoft AI is hiring a Member of Technical Staff - AI Networking to design and scale the world’s most advanced high-performance networks powering Copilot and next-generation AI systems. Join the team building the fabric that connects frontier-class datacenters, enables multi-gigawatt AI supercomputers, and supports the training of the most sophisticated AI models on the planet.
In our efforts to build these models to develop novel responsible and efficient artificial general intelligence, large compute-capacity is required, and as an AI Networking Engineer, you’ll shape the end-to-end networking architecture, link-layer to fabric-wide systems for hyperscale AI training clusters. design, bring up, and scale the distributed Ethernet and InfiniBand fabrics that connect hundreds of thousands of GPUs across multi-megawatt data halls. You’ll benchmark, profile, debug and tune the training and inference of AI workloads running in the production clusters. You’ll engineer ultra-low-latency ROCE networks, design congestion-free transport mechanisms, optimize lossless fabrics at 10k–100k+ GPU scale, and partner deeply across Azure, Microsoft AI, and datacenter teams to turn cutting-edge ideas into running global infrastructure. If you want to build networking systems that push physics, silicon, and software to the limit and directly accelerate Microsoft’s frontier AI models, this is the most exciting seat in the industry.
Responsibilities
- Advanced ROCE transport design, congestion control, ECN/WRED/DCTCP tuning.
- Fabric architecture, topology planning, network modeling, and scaling strategy.
- Telemetry, observability, reliability engineering, and automated troubleshooting.
- Develop and tune the deployment of novel routing techniques to achieve reliability in large networks.
- Work with world class network designers like NVIDIA, Broadcom, and in-house silicon/network co-design teams.
- AI training + inference cluster bring-up, performance benchmarking, and root-cause analysis.
- Gather data and insights to develop the pretraining compute roadmap.
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Embody our Culture and Values.
Qualifications
- 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.
- 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 Bachelor's Degree in Computer Science or related technical field AND 12+ 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:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

