9d194d98-aa3 Member of Technical Staff, Pre-Training Infrastructure Summary

Microsoft AI are looking for a talented 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.

About the Role

We are seeking a highly skilled and experienced engineer to join our team as a Member of Technical Staff, Pre-Training Infrastructure. The successful candidate will be responsible for designing, implementing, testing, and optimizing distributed training infrastructure in Python and C++ for large-scale GPU clusters. They will also profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.

Accountabilities

  • 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.

The Candidate we're looking for

Experience:

  • 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.

Technical skills:

  • Experience in distributed computing and large-scale systems.
  • Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.

Personal attributes:

  • Proven ability to profile, benchmark, and optimize performance-critical systems.
  • Experience in leading technical projects and supporting architectural decisions with data.

Benefits

  • Competitive salary and benefits package.
  • Opportunity to work on cutting-edge AI projects.
  • Collaborative and dynamic work environment.

XML job scraping automation by YubHub

]]> full-time staff onsite distributed computing, GPU programming, PyTorch, C++, Python, machine learning, natural language processing, computer vision Engineering Technology Microsoft AI https://logos.yubhub.co/microsoft.ai.png Microsoft AI is a leading technology company that specializes in artificial intelligence and machine learning. They are known for their innovative products and services that empower people and organizations to achieve more. Microsoft AI is dedicated to advancing the field of AI and making it more accessible to everyone. https://microsoft.ai https://microsoft.ai/job/member-of-technical-staff-pre-training-infrastructure-mai-superintelligence-team-3/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply New York 2026-03-06 025813fe-4e7 Member of Technical Staff, Pre-Training Infrastructure Summary

Microsoft AI are looking for a talented 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.

About the Role

We are seeking a highly skilled and experienced engineer to join our team as a Member of Technical Staff, Pre-Training Infrastructure. The successful candidate will be responsible for designing, implementing, testing, and optimizing distributed training infrastructure in Python and C++ for large-scale GPU clusters. They will also profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.

Accountabilities

  • 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.

The Candidate we're looking for

Experience:

  • 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.

Technical skills:

  • Experience in distributed computing and large-scale systems.
  • Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.

Personal attributes:

  • Proven ability to profile, benchmark, and optimize performance-critical systems.
  • Experience in leading technical projects and supporting architectural decisions with data.

Benefits

  • Competitive salary and benefits package.
  • Opportunity to work on cutting-edge AI projects.
  • Collaborative and dynamic work environment.

XML job scraping automation by YubHub

]]> full-time staff onsite distributed computing, GPU programming, PyTorch, C++, Python, performance optimization, leadership, data analysis Engineering Technology Microsoft AI https://logos.yubhub.co/microsoft.ai.png Microsoft AI is a leading technology company that specializes in artificial intelligence and machine learning. They are known for their innovative products and services that empower individuals and organizations to achieve more. Microsoft AI is dedicated to advancing the field of AI and making it more accessible to everyone. https://microsoft.ai https://microsoft.ai/job/member-of-technical-staff-pre-training-infrastructure-mai-superintelligence-team-2/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply Redmond 2026-03-06 e37327fd-d8f Member of Technical Staff, Pre-Training Infrastructure Summary

Microsoft AI are looking for a talented 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.

About the Role

We are seeking a highly skilled and experienced engineer to join our team as a Member of Technical Staff, Pre-Training Infrastructure. The successful candidate will be responsible for designing, implementing, testing, and optimizing distributed training infrastructure in Python and C++ for large-scale GPU clusters. They will also profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.

Accountabilities

  • 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.

The Candidate we're looking for

Experience:

  • 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.

Technical skills:

  • Experience in distributed computing and large-scale systems.
  • Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.

Personal attributes:

  • Proven ability to profile, benchmark, and optimize performance-critical systems.
  • Experience in leading technical projects and supporting architectural decisions with data.

Benefits

  • Competitive salary and benefits package.
  • Opportunity to work on cutting-edge AI projects.
  • Collaborative and dynamic work environment.

XML job scraping automation by YubHub

]]> full-time staff onsite distributed computing, GPU programming, PyTorch, C++, Python, performance optimization, leadership, data analysis Engineering Technology Microsoft AI https://logos.yubhub.co/microsoft.ai.png Microsoft AI is a leading technology company that specializes in artificial intelligence and machine learning. They are known for their innovative products and services that empower individuals and organizations to achieve more. Microsoft AI is dedicated to advancing the field of AI and making it more accessible to everyone. https://microsoft.ai https://microsoft.ai/job/member-of-technical-staff-pre-training-infrastructure-mai-superintelligence-team/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply Mountain View 2026-03-06