AI Networking

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. Microsoft AI Our mission is to build AI that amplifies human potential and empowers people around the world. We strive to deliver breakthroughs that advance science, education, productivity, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in-come and join us as we work on our next generation of models! 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.

Artificial Intelligence (AI), Microsoft Product Family, Network Operations Center, Artificial Intelligence (AI), Team Building, Network Design, Physics, Debugging Skills, Ethernet, Return on Capital Employed (ROCE), * 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.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 per year.

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.