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Job Details
Posted date: Oct 09, 2025
There have been 21 jobs posted with the title of Cloud Network Engineer all time at Microsoft.There have been 21 Cloud Network Engineer jobs posted in the last month.
Category: Software Engineering
Location: Multiple Locations, Multiple Locations
Estimated salary: $132,300
Range: $84,200 - $180,400
Employment type: Full-Time
Travel amount: 25.0%
Work location type: 0 days / week in-office - remote
Role: Individual Contributor
Description
The High Performance Computing and Artificial Intelligence (HPC and AI) team is focused on building the next-generation distributed artificial intelligence supercomputer. This effort supports breakthroughs in artificial intelligence by delivering unmatched computational power, scalability, and reliability. The team designs and develops advanced infrastructure to support high-performance model training at scale, laying the groundwork for innovations that expand the boundaries of what artificial intelligence can achieve.We are seeking a Cloud Network Engineer who is passionate about designing and developing the infrastructure that powers large-scale artificial intelligence and high-performance computing systems. In this role, you will contribute to the design, deployment, and operation of network infrastructure, automation workflows, observability frameworks, and performance optimization systems. These systems are essential for achieving ultra-low latency, high throughput, and efficient performance at petabyte scale in distributed artificial intelligence workloads.
As a Cloud Network Engineer on the High Performance Computing and Artificial Intelligence Infrastructure team, you will work at the intersection of artificial intelligence supercomputing and large-scale networking. Your work will directly impact the reliability and performance of distributed clusters, using high-speed fabrics such as Ethernet and InfiniBand, and accelerated compute platforms including graphics processing units from NVIDIA and AMD. This is a unique opportunity to help build the network infrastructure that ensures speed, reliability, and availability at exascale levels. You will collaborate across hardware, infrastructure, and platform teams to deliver systems that support the future of artificial intelligence training and inference.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Network Deployment: Deploy high-throughput, low-latency physical network topologies (e.g., Clos, FatTree) using technologies such as InfiniBand and Ethernet to support AI model training and HPC workloads.Operational Readiness: Serve as a Designated Responsible Individual (DRI) for physical network systems—monitoring health, responding to incidents, performing root-cause analysis, and driving improvements in availability and observability.Cross-Functional Collaboration: Partner with hardware engineering, DataCentre operations, and software-defined networking teams to ensure seamless integration of physical and logical network layers.Documentation & Standards: Own the documentation of physical network designs, cabling standards, and deployment procedures. Lead design reviews and ensure alignment with compliance and safety standards.Innovation & Research: Stay current with advancements in optical networking, high-speed interconnects, and AI/HPC fabric technologies. Evaluate and integrate emerging solutions to improve scalability, efficiency, and performance.
Qualifications
Required Qualifications:2+ years technical experience in network design, development, and automation.
OR Bachelor's Degree in Electrical Engineering, Optical Engineering, Computer Science, Engineering, Information Technology, or related field
Experience designing, deploying, and supporting data center and backbone networks for distributed computing platforms, including:Artificial Intelligence and Machine Learning clustersHigh-Performance Computing systemsHyperscale data centersOther 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:
2+ year(s) experience in network design, development, and automation, demonstrated by one of the following:5+ years of direct technical experience in the field2+ years of experience with a Bachelor's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or a related fieldA Master’s Degree in one of the above fieldsEquivalent practical experience in high-performance networking environments1+ year(s) experience with:Designing, deploying, and supporting data center and backbone networks for distributed computing platforms such as Artificial Intelligence and Machine Learning clusters, High-Performance Computing systems, or hyperscale data centersRouting protocols including Border Gateway Protocol (BGP), Multiprotocol Label Switching (MPLS), and tunneling techniques such as Virtual Extensible Local Area Network (VxLAN) and Ethernet Virtual Private Network (EVPN)Optical networking and high-speed interconnects such as InfiniBand, Remote Direct Memory Access over Converged Ethernet (RoCE), and NVIDIA NVLinkUnderstanding of Artificial Intelligence accelerators (e.g., graphics processing units from NVIDIA or AMD, or tensor processing units) and their integration with physical networking infrastructure1+ year(s) experience with:Telemetry and observability tools for monitoring physical network health, link performance, and congestion at scaleBuilding scalable, fault-tolerant physical networks for distributed computing environmentsLinux-based systems, including kernel-level networking, interface tuning, and low-level debugging of physical network issuesIndustry certifications such as Cisco Certified Network Professional (CCNP), Cisco Certified Internetwork Expert (CCIE), or equivalent are preferred Cloud Network Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 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 $109,000 - $180,400 per year.
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
Microsoft will accept applications for the role until October 24th, 2025.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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