To realize the promise of enterprise AI, companies need a reliable, full-stack, and performant platform to build upon. On-premise AI Factory solutions require a seamless integration of accelerated computing, networking, and a rich ecosystem of enterprise software. These solutions are only possible through deep partnership with the ISVs who write the software that runs the world's enterprises and the hardware OEMs who build the systems.
NVIDIA is at the forefront of powering this transformation. We partner with the world's leading software and hardware companies to deliver best-in-class AI platforms. To accelerate this mission, we are seeking a highly technical and strategic product manager to lead our solution architecture and engagement with ISV and OEM partners. We need a visionary who can define the technical blueprint for differentiated partner solutions and guide the long-term roadmap. We're looking for the rare blend of deep architectural expertise and strategic product skills. If this sounds like you, we would love to learn more about you!
What You'll be Doing:
Define and drive the product strategy for on-prem AI Factory solutions, delivered through our ecosystem of ISV and OEM partners.
Architect and design differentiated, full-stack solutions by defining how our software is integrated into partner software offerings and hardware platforms.
Engage deeply with strategic partners, including leading enterprise software vendors (ISVs) and major server manufacturers (OEMs), to align on joint roadmaps and go-to-market priorities.
Develop and maintain clear reference architectures that serve as the foundation for partners to efficiently build, certify, and ship powered enterprise solutions.
Guide the end-to-end hardware and software lifecycle for certified partner solutions, ensuring alignment between our roadmap and partner product launches.
Create and execute strategies to drive the adoption and activation of our software components through the partner ecosystem.
What We Need to See:
A BS or MS degree in Computer Science, Computer Engineering, or a similar field, or equivalent experience.
8+ years of experience in product management, solutions architecture, or partner engineering at a technology company.
Proven experience working with enterprise software vendors (ISVs) and/or major hardware OEMs in a product or technical partnership capacity.
Deep understanding of enterprise hardware development, validation, and certification cycles.
Outstanding ability to define software architectures and translate their value into differentiated, full-stack accelerated hardware and software solutions for partners.
Strong communication, relationship management, and interpersonal skills, with a talent for navigating large partner organizations.
Ways to Stand Out from the Crowd:
Direct experience architecting solutions with enterprise AI software platforms.
Pre-existing relationships within the product management or engineering teams at strategic ISVs or key server OEMs.
Experience with major enterprise software certification programs for platforms like Kubernetes, virtualization, or data analytics.
Proven understanding of the enterprise data center, including server architecture, networking, storage, and cloud-native application design.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and a self-starter, we want to hear from you!
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 208,000 USD - 327,750 USD for Level 5.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 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.Skills Required
- A BS or MS degree in Computer Science or similar field
- 8+ years of experience in product management or solutions architecture
- Proven experience working with enterprise software vendors and hardware OEMs
- Deep understanding of enterprise hardware development and certification cycles
- Outstanding ability to define software architectures
- Strong communication and relationship management skills
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.”
