Member of Technical Staff, Hardware Health - MAI Superintelligence Team at Microsoft

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

07 Apr, 26

Salary

0.0

Posted On

07 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Advanced ROCE Transport Design, Congestion Control, Telemetry, Observability, Reliability Engineering, Automated Troubleshooting, Routing Techniques, Network Modeling, Performance Benchmarking, Root-Cause Analysis, AI Training, Inference Cluster, Data Gathering, Compute Roadmap, Fast-Paced Environment, Product Development

Industry

Software Development

Description

Overview Microsoft AI operates one of the world’s most advanced AI training infrastructures, featuring multi-gigawatt clusters spanning tens of thousands of high-performance GPUs, ultra-low-latency NVLink/NVSwitch networks, and innovative liquid-cooling systems. Our team is seeking a Member of Technical Staff, Hardware Health, to ensure these systems deliver sustained reliability, performance, and availability across exascale-class deployments. We work closely with research, hardware, datacenter, and platform engineering teams to develop predictive health models, failure detection frameworks, and autonomous remediation systems that keep our AI clusters operating at frontier scale. Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Join us and help shape the future of personal computing. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we embrace a growth mindset, innovate to empower others, and collaborate to achieve shared goals. Every day, we build on our values of respect, integrity, and accountability to foster a culture of inclusion where everyone can thrive at work and beyond. Microsoft Superintelligence Team Microsoft Superintelligence team’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.This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, 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! 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 Qualifications 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. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The role involves designing advanced transport systems and ensuring reliability in large networks. Responsibilities also include performance benchmarking and developing predictive health models for AI clusters.