The Deep Learning Software Team is seeking a Senior Technical Program Manager to lead software initiatives and develop Gen AI models enabling NVIDIAâs 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:Â
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 â planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issuesÂ
Guide engineering teams in the use of agile methodologiesÂ
Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisionsÂ
Report on overall program status, providing insights and recommendations to senior managementÂ
Drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes Â
Work with multi-functional matrixed teams Â
Guide teams designing for advanced, complex, competing and often conflicting customer requirements Â
Moderate technical discussions to successful conclusionsÂ
Act as liaison between developers and customers, between technical and non-technical audiencesÂ
Cultivate a culture of continuous improvement, finding opportunities for process enhancements Â
What We Need To See:
Bachelorâs 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 systemsÂ
Strong multitasking abilities with a focus on thoroughness and rapid context switching
Knowledge of agile methodologies and tools, project planning, and task tracking toolsÂ
Experience in AI training environments and resource capacity planningÂ
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 DevOpsÂ
Prior experience in the management of customer workflows using large scale distributed computing and working with AI researchers or directly training and evaluating AI modelsÂ
Consistent track record of driving process improvements and measuring efficiency
A passion for sharing knowledge and experience driving complex projects end-to-end
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 4, 2025.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
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