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Help build the world’s most advanced training platform at Microsoft AI

We are on a mission to create the leading pretraining platform to develop the world’s most capable AI frontier models enabling human level intelligence and beyond. This platform will span one of the world’s most foremost GPU clusters, pushing the boundaries of scale, performance, and reliability.

The AI Pre-training Platform team at Microsoft AI needs to track closely all aspects of infrastructure including cluster acquisition, capacity deployment, large scale GPU buildout, high-speed fabric buildout and validation, benchmarking, and performance optimizations to support and accelerate our model pre-training, post-training and fine-tuning operations. We are an interdisciplinary team of engineers and scientists, learning from each other, and collaborating to create the best models, methods and products. We work closely with the teams that transform pre-trained models into the models that power the consumer Copilot experience.

We are looking for an outstanding Member of Technical Staff, Pre-training Platform Technical Program Manager who would be the driving force behind all the activities mentioned above, track and manage the priorities across the various engineering teams delivering both hardware capacity and software components for pretraining. The individual should be excited and be proud about contributing to the next generation of systems that will transform the field. We are looking for candidates who:

• Are passionate about managing high stakes time-sensitive large-scale programs

• Are keenly aware and able to manage timelines and schedules of mission critical cluster hardware, software and services

• Have experience in navigating the timelines of datacenter capacity deploying thousands of GPUs and enable large-scale AI model training or inference clusters

• Will thrive in a highly collaborative, fast-paced environment

• Have a high degree of craftsmanship and pay close attention to details

• Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies

• Effectively manage multiple responsibilities and can adjust to shifting priorities.

Microsoft’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.

By applying to this position, you are required to be local to the Montain View, California OR Redmond, Washington area.

Responsibilities

• Deeply understand, track and manage the timelines of datacenter construction and bring-up

• Deeply understand, track and manage node, rack and cluster validation processes

• Hold execution-focused meetings with various stake holders to accelerate GPU delivery timelines

• Track and manage the capacity deployment, validation and benchmarking of AI supercomputers

• Collaborate with the product team and other engineers and researchers across Microsoft and other vendors to identify gaps and drive timelines towards resolutions and mitigations

• Working with a cross-disciplined crew across design, research, engineering, and data analysis to deliver a high-quality product and evaluate success towards business goals.

• Embody our culture and values .

Qualifications

Required Qualifications:

• Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development

• OR equivalent experience.

• 2+ years experience managing cross-functional and/or cross-team projects.

Preferred Qualifications:

• Bachelor's Degree AND 8+ years experience in engineering, product/technical program management, data analysis, or product development

• OR equivalent experience.

• 6+ years experience managing cross-functional and/or cross-team projects.

• 1+ year(s) experience reading and/or writing code (e.g., sample documentation, product demos).

• 2+ yrs of tracking and managing data center bring-up.

• 1+ yrs of tracking and managing capacity deployment, validation and benchmarking of GPU clusters for AI training.

Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until November 27, 2024.

#copilot

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .