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
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
You will also be eligible for equity and benefits.
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.#deeplearningSkills Required
- Bachelor's degree or equivalent experience in a related field
- 10+ years program management experience, including managing global projects across time zones
- Demonstrated ability engaging and moderating engineering partners and vendors
- Exceptional communication and presentation skills for technical and non-technical audiences
- In-depth understanding of software engineering principles and enterprise quality requirements
- Strong multitasking abilities, rapid context switching, problem-solving and conflict management skills
- Knowledge of agile methodologies, project planning, and task tracking tools
- Experience in AI training environments and resource capacity planning
- Proactive in identifying and implementing software engineering and release management improvements
- Experience with project management tools (e.g., Jira, Aha!, Confluence) and distributed version control systems (e.g., Git)
- Background in computer science, machine learning, deep learning, open source software, and GPU technology
- Experience in production application software development, release/support methodology and DevOps
- Experience managing customer workflows using large-scale distributed computing and working with AI researchers or training AI models
- Track record of driving process improvements and measuring efficiency
- Passion for sharing knowledge and driving complex projects end-to-end
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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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