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Member of Technical Staff - Software Engineer

Microsoft

$117,200 - $250,200
Sep 10, 2025
Redmond, WA, USA
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Microsoft AI is looking for a Member of Technical Staff - Software Engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. The foundational models require large compute-capacity, and as a Member of Technical Staff - Software Engineer you would be responsible to benchmark, profile, debug and tune the training and inference of generative AI running in the production Graphics Processing Unit (GPU) clusters.

Requirements

  • Experience with generative AI.
  • Experience with distributed computing.
  • coding in languages including, but not limited to, C, C , C, Java, JavaScript, or Python
  • Experience in leading technical projects and
  • supporting architectural decisions with data.

Responsibilities

  • Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx
  • architectures.
  • Benchmark GB200 and AMD MIxxx
  • GPU clusters.
  • Gather data and insights to develop the pretraining compute roadmap.
  • Actively contribute to the development of AI models that are powering our innovative products.
  • Benchmark, profile, debug and tune the training and inference of generative AI running in the production Graphics Processing Unit (GPU) clusters.
  • Instrument best known state-of-the-art
  • and novel tools and techniques to achieve the smooth operation of the AI jobs.
  • Driving architectural changes and influence roadmap of relevant software and hardware components.

Other

  • We’re
  • looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.
  • The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment.
  • You will wear multiple hats and work on engineering, research, and everything in between.
  • Care deeply about conversational AI and its deployment.
  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.