Senior Product Manager, NVCF - Infrastructure and Sovereign AI

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2 Locations
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Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

NVIDIA has been advancing computer graphics, PC gaming, and accelerated computing for more than 25 years. NVIDIA has 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, agents, 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.

The NVIDIA Cloud Functions team is seeking a Senior Product Manager passionate about Infrastructure and Sovereign AI. NVIDIA Cloud Functions (NVCF) is a global compute fabric that enables a high performance, production-grade, inference capability for NVIDIA and partner products. If you are a customer-focused product manager with a passion for innovation, thrive in multi-faceted, collaborative environments, and have expertise in AI infrastructure, come join the team and see how you can make a lasting impact on the world.

What You'll Be Doing:

  • Be a product leader within the NVCF team, owning infrastructure and sovereign AI features and advocating for these areas in internal and external forums

  • Own and prioritize your product roadmap, including establishing alignment with engineering, product marketing, partner teams, internal customers, external customers, and leadership

  • Design product features to facilitate adoption of NVCF, including through integration and partnership with partner teams within NVIDIA and delivery via Global Systems Integrator solution offerings

  • Collaborate with engineering, design, operations, sales, and marketing teams

What We Need To See:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or similar field or equivalent experience

  • 8+ years of relevant work experience in inference, serverless, or container orchestration product management at a technology company

  • Technical and Operational experience with global, scaled generative AI infrastructure and solution delivery based on end user requirements.

  • Preference for experience with AI/ML inference, diffusion image / video generation models, Large Language Models (LLMs), Open Source Software (OSS) libraries and ML frameworks, high performance computing systems, reference architecture design, or delivery of generative AI serverless inferencing solutions

  • Strong customer engagement capabilities, including representing NVCF in customer meetings and engaging with customers to ensure success in adopting NVCF offerings

  • Excellent balance of proven technical and business knowledge

  • Excellent communication and presentation abilities, including ability to tailor communication to audience

  • Passion for building ground-breaking products/technologies

  • Prior success balancing multiple demanding customers and initiatives at a time

Ways To Stand Out From The Crowd:

  • Experience operating and improving large scale distributed compute infrastructure

  • Proven track record of converting findings to product feature improvements to increase automation and self-service capabilities around capacity management

  • Experience crafting, delivering, and operating capacity management marketplaces, particularly using auction pricing mechanisms

  • In-depth knowledge of serverless technologies, container orchestration and advanced load balancing approaches, generative AI models and associated infrastructure requirements, reference architectures, GSI partner engagement and solution design

  • Examples of delivering extraordinary results in entrepreneurial, dynamic, environments

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!

The base salary range is 168,000 USD - 327,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

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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