Nvidia Platform Program Manager AI Computing Infrastructure 

United States, California 

386827578

Hardware Infrastructure is seeking ato lead programs and initiativescreating infrastructure toof industry processes that enable a fast pace and rapidly growingin a

What You'll Be Doing:

• objectives.

• Guideengineering programs inall 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.

• Work withmulti-functional matrixed teams

• Guideteamsdesigning 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 NeedSee:

• Bachelors degree (or equivalent experience).

• 15+ years program management experience including proven ability managing global projects, adaptable to multiple time zones.

• Demonstrated 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.

• 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, project planning, and task tracking tools

• Experience AI training environments and resource capacity planning

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

Ways To Stand OutCrowd:

• 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

• Prior experience in the management of customer workflows using large scale distributed computing and working with AI researchers or directly training AI models

• Consistent track record of driving process improvements and measuring efficiency.

• A passion for sharing knowledge and experience driving complex projects end-to-end.