Senior Technical Program Manager, AI Software and Model Development

The TPM Team is seeking a Technical Program Manager to lead programs and initiatives for developing infrastructure that enable NVIDIA’s most advanced AI researchers and engineers to create the future of computing. This leader will guide engineering programs using best of industry processes well suited to our fast pace and rapidly expanding roadmap.

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:

• Bachelors degree (or equivalent experience) in a related field.

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

• Demonstrated 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.

Ways To Stand Out From 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 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. 

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