Principal Product Manager, DGX Systems

Posted 2 Days Ago
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Santa Clara, CA
Expert/Leader
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Principal Product Manager will drive strategic initiatives for NVIDIA's DGX product line, engaging with customers and partners, and collaborating with engineering teams to enhance integrated solutions. This role also involves advocating for new DGX products with sales and marketing teams and improving customer experiences in data center environments.
Summary Generated by Built In

Generative AI is transforming how business use data and build AI into their emerging applications. Nvidia has been the inventor of AI infrastructure across data center disciplines, core to this has been the DGX product line that has been delivering best of breed AI solutions to customers since 2016!

We are growing the DGX product team and are looking for a passionate product manager to help the organization grow our portfolio of integrated solutions. This role will work across systems, networking and software disciplines to drive turnkey data center solutions

What You'll be Doing:

  • Distill insights from strategic customers and partners to define, prioritize and drive execution of NVIDIA's enterprise software branching strategy.

  • Collaborate cross-organization with engineering leaders and product owners to align behind a uniform and predictable release cadence.

  • Engage with ecosystem partners to define solutions that improve customer experience and productivity at the data center solution level

  • Act as the evangelist with sales and marketing teams for new DGX solutions

What We Need to See:

  • BS or MS degree in Computer Science, Computer Engineering, or similar field (or equivalent experience)

  • 15+ years of product management, or similar, experience at a technology company serving enterprises

  • Proven track record in ability to influence/lead key collaborators.

  • Strong understanding of cloud native technologies such as containerization, Kubernetes and automation tools

  • Experience deploying end to end data center solutions

Ways to Stand Out from the Crowd:

  • Familiarity with the MLOps and LLMOps ecosystem and experience building integrations with popular enterprise platforms

  • Experience deploying systems at scale in modern data center environments

  • Used or built Gen AI services to automate a business need or information retrieval

  • Deep experience in Linux and OSS automation tools

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!

    The base salary range is 240,000 USD - 379,500 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.

    Top Skills

    Cloud Native Technologies
    Containerization
    Kubernetes
    The Company
    HQ: Santa Clara, CA
    21,960 Employees
    On-site Workplace
    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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