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# AI Networking

- **Company:** Microsoft
- **Location:** Redmond, WA, United States
- **Experience:** Expert
- **Salary:** $142,800.0 - $274,800.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Network Congestion, Software Debugging, Ethernet, InfiniBand, Python (Programming Language), Microsoft Office, Network Architecture, Network Model, Reliability Engineering, Broadcom, Software Engineering, Graphics Processing Unit (GPU), Computer Networking Systems, Information Technology
- **Published:** August 5, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3340256524&tx=TT4138TYV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Required Minimum 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.

Additional Preferred Qualifications

 * 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.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

## Description

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.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

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


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