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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Member of Technical Staff, High Performance Computing Engineer

United Kingdom, London · Job Posted March 01, 2026
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Job Description

Microsoft AI is looking for experienced Member of Technical Staff, High Performance Computing Engineers to help build and scale the infrastructure that trains our frontier models and powers the next evolution of our personal AI, Copilot. This role offers the unique opportunity to work on some of the largest scale supercomputers in the world.

Job Responsibility

  • Design, operate, and maintain large-scale HPC environments
  • Own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes)
  • Serve as a technical owner for at least one core HPC domain (GPU compute, high-performance storage, networking, or similar)
  • Develop and maintain automation and tooling using Bash and/or Python
  • Partner closely with researchers and engineers to support their workloads, troubleshoot cluster usage issues, and triage failed or underperforming jobs
  • Drive work forward independently by navigating ambiguity and technical roadblocks
  • Enjoy working in a fast-paced, design-driven product development environment
  • Embody our Culture and Values

Requirements

  • Bachelor’s degree in computer science, or related technical field AND 4+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters
  • 4+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.)
  • 4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP
  • OR equivalent experience

Nice to have

  • Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters
  • 6+ years experience working with high-scale training clusters
  • 6+ years experience building scalable services on top of public cloud infrastructure
  • OR equivalent experience
  • Experience with LLM training clusters
  • Experience working with AI platforms, frameworks, and APIs
  • Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models
  • Experience working with large-scale HPC or GPU systems (ex. NVIDIA H100/GB200 or equivalent)
  • Ability to identify, analyze, and resolve complex technical issues
  • Dedication to writing clean, maintainable, and well-documented code
  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams
  • Ability to clearly communicate complex technical concepts
  • Passion for learning new technologies
  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements
  • Proven ability to collaborate and contribute to a positive, inclusive work environment
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