Technical Program Manager, EDA Compute Infrastructure

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.

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.

Bachelors degree (or equivalent experience).

12+ 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.

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

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

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

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 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.