Senior Technical Program Manager, AI

The Deep Learning Software Team is seeking a Senior Technical Program Manager to lead software initiatives and develop Gen AI models enabling NVIDIA’s most advanced AI researchers and engineers to create the future of computing. This leader will guide engineering programs using the best 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: Bachelor’s degree (or equivalent experience) in a related field with demonstrated program management expertise and mastery of technical and management practices

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

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 with strong problem-solving and conflict management skills

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 in AI training environments and resource capacity planning 

Proactive in identifying and implementing efficient changes in software engineering and release management

Excellent organizational skills and ability to use project management tools (e.g. Jira, Aha!, Confluence) and distributed version control systems (e.g. Git)

Ways To Stand Out From The Crowd: Background in computer science, machine learning, deep learning, open source software, and GPU technology

Prior experience in production application 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 and evaluating 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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until July 6, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

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