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Microsoft

Builds workplace software, PCs and cloud services

Member of Technical Staff - AI Networking

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-time$119.8k - $304.2k /yr

About the Job

Requirements

  • Bachelor's Degree in Computer Science or a related technical field and 6+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
  • Preferred: Master's Degree in Computer Science or a related technical field and 8+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
  • Preferred: Bachelor's Degree in Computer Science or a related technical field and 12+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python, or equivalent experience.

Responsibilities

  • Design and scale high-performance networks powering AI systems.
  • Shape end-to-end networking architecture from link layer to fabric-wide systems for hyperscale AI training clusters.
  • Design, bring up, and scale distributed Ethernet and InfiniBand fabrics connecting large GPU clusters across data halls.
  • Benchmark, profile, debug, and tune AI training and inference workloads running in production clusters.
  • Engineer ultra-low-latency RoCE networks, design congestion-free transport mechanisms, and optimize lossless fabrics at large GPU scale.
  • Design RoCE transport, congestion control, and tune ECN, WRED, and DCTCP.
  • Plan fabric architecture and topology, model networks, and develop scaling strategies.
  • Develop telemetry, observability, reliability engineering, and automated troubleshooting.
  • Develop and tune novel routing techniques to improve reliability in large networks.
  • Collaborate with network designers and silicon/network co-design teams.
  • Bring up AI training and inference clusters, benchmark performance, and perform root-cause analysis.
  • Gather data and insights to develop the pretraining compute roadmap.
  • Deliver work iteratively and get it into users' hands despite roadblocks.
  • Work in a fast-paced, design-driven product development cycle.
  • Embody Microsoft's culture and values.

About the Company

Microsoft

Builds workplace software, PCs and cloud services

Microsoft builds workplace software, operating systems and cloud infrastructure for consumers, businesses and government agencies, from small organizations to global enterprises. Microsoft 365 combines Word and Excel with Teams communication and Copilot AI features, while Windows runs PCs and Surface supplies the company's own computers. Azure rents computing capacity, storage and databases to build and run web applications. Microsoft also sells Xbox consoles and games, collecting revenue through software licenses, subscriptions, usage charges and product sales. Founded in 1975 by Bill Gates and Paul Allen, Microsoft is headquartered in Redmond, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Redmond, WA
Founded
1975

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