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Member of Technical Staff, Pre-Training Infrastructure

https://www.microsoft.com/ Logo

Microsoft Corporation

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Location:
United States , Mountain View

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Contract Type:
Not provided

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Salary:

139900.00 - 274800.00 USD / Year

Job Description:

Microsoft AI is looking for a Member of Technical Staff, Pre-Training Infrastructure, to help build the next wave of capabilities for our personalized AI assistant, Copilot. We're seeking someone who brings an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The ideal candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models powering our innovative products. Expect to wear multiple hats and work across engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructure, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI. Microsoft AI is building the training infrastructure that powers frontier-scale models and advances research toward humanist superintelligence. As a Member of Technical Staff, Pre-Training Infrastructure, you will contribute to a fast-moving codebase that enables training at unprecedented scale. This role focuses on building and optimizing the software stack for massive GPU clusters, high-throughput storage systems, and cutting-edge AI research. You will work closely with model scientists to scale up the latest research recipes, implement new forms of distributed training parallelism, and ensure the reliability and performance of thousands of GPUs across our supercomputing fleet. Profiling, benchmarking, debugging, and fine-grained optimization are core to this role, demanding both engineering rigor and creativity. As a contributing member of the core engineering group, you will also bring best practices, drive architectural changes, and influence the roadmap for relevant software and hardware components. Your work will directly impact business goals for a wide range of users and facilitate the next wave of growth and innovation in AI. 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. Come be part of the team shaping the future of personal computing.

Job Responsibility:

  • Design, implement, test, and optimize distributed training infrastructure in Python and C++ for large-scale GPU clusters
  • Profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems
  • Optimize collective communication libraries (e.g., NCCL) for emerging NVLink and InfiniBand topologies
  • Collaborate with hardware teams to optimize for next-generation accelerators (NVIDIA, AMD, and beyond)
  • Gather data and insights to develop the pretraining compute roadmap
  • Care deeply about conversational AI and its deployment
  • Actively contribute to the development of AI models powering our innovative products
  • Find solutions to overcome roadblocks and deliver your work to users quickly and iteratively
  • Enjoy working in a fast-paced, design-driven product development cycle
  • Embody our Culture and Values

Requirements:

  • 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
  • Experience in distributed computing and large-scale systems
  • Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch
  • Proven ability to profile, benchmark, and optimize performance-critical systems
  • Experience in leading technical projects and supporting architectural decisions with data
  • Experience building infrastructure for large-scale machine learning or generative AI workloads
  • Experience in networking (InfiniBand, NVLink), storage systems, or distributed training parallelisms
  • Track record of contributing to high-performance computing or large-scale AI infrastructure projects

Nice to have:

  • 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

Additional Information:

Job Posted:
April 11, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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