Senior Product Manager, NVCF - Platform and Developer Experience

Posted Yesterday
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2 Locations
In-Office
148K-259K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Product Manager is responsible for driving the roadmap and delivery of NVIDIA Cloud Functions, engaging with design partners, and collaborating with the open-source community.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA Cloud Functions (NVCF) is an open-source project at github.com/nvidia/nvcf that NVIDIA Cloud Partners (NCPs), ISVs, and Enterprises depend on to operate inference and agentic workloads. This is a new OSS project that we're excited to grow and support! We're hiring a Product Manager to drive NVCF platform features and developer experience. You'll build what NVCF can do — and how accessible it is for developers — across different developer surfaces. If you are excited about being a part of a 0 --> 1 effort to create and establish an open source project on AI inference, we want to hear from you!

What You'll Be Doing:

  • Own the product roadmap and delivery for a specific NVCF platform features — such as agentic workflow support and harness / agent integrations.

  • Drive deep technical engagement with NVCF design-partners to translate

  • Developer pain into features and integration partnerships.

  • Collaborate with the NVCF open-source developer community — prioritizing GitHub issues, gathering feedback, supporting contributors, and channeling community signal back into the roadmap.

  • Collaborate with engineering on feature design, prioritization, execution, and architecture tradeoffs.

  • Align cross-functionally with other Product, Engineering, Product Marketing, and Field teams on requirements, roadmaps, messaging, and engagements.

What We Need To See:

  • 5+ years in product management, solutions architecture, or software engineering on a technical product.

  • Bachelor's degree in Computer Science or an equivalent experience.

  • Technical depth in at least one of: AI inference, container orchestration (Kubernetes / serverless), developer platforms and SDKs, agent frameworks.

  • Proven capability to connect with senior technical customers and translate requirements into product strategy.

  • Comfort operating in fast paced environments.

  • Strong written and verbal communication across Developer to Executive audiences.

Ways To Stand Out From The Crowd:

  • Practical experience delivering or contributing to an open-source product, including interacting with contributors on GitHub.

  • Experience crafting developer-facing APIs, SDKs, or CLIs at scale.

NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 224,250 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 21, 2026.

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

  • 5+ years in product management, solutions architecture, or software engineering on a technical product
  • Bachelor's degree in Computer Science or equivalent experience
  • Technical depth in AI inference, container orchestration, developer platforms or SDKs
  • Proven capability to connect with senior technical customers
  • Strong written and verbal communication 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.

  • 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

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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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