Senior Technical Program Manager, Models

Posted 3 Days Ago
2 Locations
Remote
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead program management for developing AI infrastructure, coordinating teams, enhancing processes, and ensuring alignment across multi-functional groups at NVIDIA.
Summary Generated by Built In

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. 

#LI-Hybrid

The base salary range is 160,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#deeplearning

Top Skills

Agile Methodologies
Ai Training Environments
DevOps
Gpu Technology
Infrastructure Technologies
Open Source Software
Project Planning
Software Engineering Principles
Task Tracking Tools
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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