The LPU Software Team is seeking a Technical Program Manager to lead software initiatives across the LPU SDK. In this role, you will partner with engineering and cross-functional teams to define program plans, align priorities, manage dependencies, and drive execution. You will identify risks, remove obstacles, and ensure teams deliver high-quality software on schedule that meet our customers needs.
What You'll Be Doing:
Build and implement execution plans to ensure we meet the needs of the business
Build relationships and work closely with partners across NVIDIA
Own all aspects of technical program management – planning, forecasting, documenting, scheduling, running effective meetings, prioritization, dependency management, reporting, and escalations
Build and own metrics for measuring program efficiency, collect and analyze data in support of planning and data driven decisions
Report on overall program status, providing insights and recommendations to senior management
Work with multi-functional matrixed teams - guide teams crafting for sophisticated, complex, competing and often conflicting customer requirements and moderate technical discussions to successful conclusions
Serve as liaison between developers and customers, connecting those with and without technical backgrounds. Promote continuous improvement by identifying process enhancement opportunities.
What We Need To See:
Bachelor’s degree (or equivalent experience) in a related field with proven program management expertise and proficiency in technical and management practices
3+ years program management experience including proven ability managing enterprise software products
Demonstrated skill in engaging and moderating successful engagements with engineering partners and customers
Outstanding communication and presentation skills for diverse technical and non-technical audiences with strong problem-solving and conflict leadership skills
In-depth understanding of software engineering principles and quality requirements in enterprise systems and experience in AI training environments and managing resource availability
Strong multitasking abilities with a focus on thoroughness and rapid context switching with knowledge of agile methodologies and tools, project planning, and task tracking tools
Excellent organizational skills and ability to use project management tools (e.g. Linear, Jira, Aha!, Confluence) and distributed version control systems (e.g. Git)
Ways To Stand Out From The Crowd:
Links to open source projects that you’ve built with the help of AI
Prior experience in software development, release and support
Demonstrated history of shipping SDKs and CLIs
Background in computer science, machine learning, deep learning, open source software, and GPU technology
Widely considered to be one of the technology world’s most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future with us. Are you a creative and collaborative software lead seeking new challenges? If so, we want to hear from you! Join us and help build the real-time, cost-effective AI inference and computing platform that's driving our success in this exciting and quickly growing field.
#LI-Hybrid
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.Skills Required
- Bachelor's degree or equivalent experience in a related field
- 3+ years of program management experience, including managing enterprise software products
- Proven program management expertise and proficiency in technical and management practices
- Experience engaging and moderating successful engagements with engineering partners and customers
- Outstanding communication and presentation skills for technical and non-technical audiences
- Strong problem-solving and conflict leadership skills
- In-depth understanding of software engineering principles and quality requirements in enterprise systems
- Experience in AI training environments and managing resource availability
- Strong multitasking, organizational, and rapid context-switching abilities
- Knowledge of agile methodologies, project planning, and task-tracking tools
- Ability to use project management tools such as Linear, Jira, Aha!, and Confluence
- Experience with distributed version control systems such as Git
- Prior software development, release, and support experience
- Demonstrated history of shipping SDKs and CLIs
- Background in computer science, machine learning, deep learning, open-source software, or GPU technology
- Open-source projects built with the help of AI
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.
-
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.
-
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.
-
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.”
.png)
