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Nvidia Director Computing Infrastructure Program Management 
United States, California 
592670255

24.06.2024

What You'll Be Doing:

  • Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives.

  • Guide other TPMs in all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues

  • Guide engineering teams in the use of agile methodologies

  • Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisions

  • Report on overall program status, providing insights and recommendations to senior management.

  • Drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes.

  • Manage multi-functional matrixed teams

  • Serve as an internal product manager for our programs

  • Guide and lead TPMs in collection of and designing for advanced, complex, competing and often conflicting customer requirements

  • Moderate technical discussions to successful conclusions

  • Act as liaison between developers and customers, between technical and non-technical audiences

  • Cultivate a culture of continuous improvement, finding opportunities for process enhancements.


What We Need To See:

  • Proven business development program management expertise and mastery of technical and management practices.

  • Demonstrated skill in engaging and moderating successful engagements with engineering partners and vendors.

  • BS or equivalent experience.

  • 15+ overall years of program management experience including proven track record managing global projects, adaptable to multiple time zones.

  • 8+ years leading engineering-level projects and large distributed teams

  • Exceptional communication and presentation skills for diverse technical and non-technical audiences.

  • In-depth understanding of software engineering principles and quality requirements in enterprise systems.

  • Strong multitasking abilities with a focus on thoroughness and rapid context switching.

  • Knowledge of agile methodologies and tools

  • Knowledge of project planning, scheduling and task tracking tools

  • Experience in capacity planning as well as experience with HPC environments

  • Proactive and enthusiastic in identifying and implementing positive changes in software engineering and release management within a fast-paced environment.


The Crowd:

  • Background in computer science, machine learning, deep learning, open source software, infrastructure technologies, and GPU technology.

  • Prior experience in infrastructure software, production application software development, software development, release and support methodology and devops

  • Experience in the management of datacenters and large scale distributed computing

  • Experience in working with AI researchers and/or EDA developers

  • Consistent track record of driving process improvements and measuring efficiency and a passion for sharing knowledge and experience driving complex projects end-to-end.

You will also be eligible for equity and .