Nvidia Technical Program Manager GPU Computing Infrastructure 

United States, California 

439105304

What You'll Be Doing:

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

• Guide engineering programs 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.

• Work with multi-functional matrixed teams

• Guide teams 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:

• 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.

• BS (or equivalent experience) and 12+ years program management experiences including proven ability managing global projects, adaptable to multiple time zones.

• 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

• 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

• Prior experience in the management of datacenters and large scale distributed computing

• Prior 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.