Senior Product Manager – AI Networking Orchestration

Posted 3 Days Ago
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Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior Product Manager at NVIDIA, you will manage the lifecycle of network orchestration systems, defining business strategies and creating market-ready innovative products. You will collaborate with various teams, collecting requirements and analyzing competitive data to convey product value.
Summary Generated by Built In

NVIDIA’s fast-growing Datacenter Ethernet Business is looking for a strong Senior Product Manager, who isn't afraid to dive deep into the technical details, to lead and to grow our portfolio in Network Analytics & Orchestration. As a Product Manager, you will mold NVIDIA's next generation of innovative Orchestration and telemetry systems. You will collaborate with forward-thinking people in engineering, operations, sales, and marketing, to lead every phase of product from conception to obsolescence.

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. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. Come, join our Datacenter communication Infrastructure team and help us build the scalable communication platforms driving our success in this dynamic and quickly growing field.

What you’ll be doing:

  • Managing a network orchestration system through the complete life cycle from business strategy to R&D tradeoffs to go-to-market for groundbreaking products into this marketplace.

  • Defining use cases, examples, and tools to craft and convey the product value proposition and position to a variety of audiences, ranging from the technically savvy to executives.

  • Collecting requirements to define future products, including competitive analysis and customer feedback.

  • Working closely with partners to ensure products get to market on time and to understand customer use cases and workflows.

What we need to see:

  • BS/MS in engineering or equivalent experience.

  • 8+ years of software experience, in the Networking Industry

  • Deep Linux knowledge and experience, User space, kernel and tools.

  • Expertise in Open source development process and lifecycle management

  • Self-starter, with a 'can-do' attitude and ability to multitask and prioritize in a fast paced environment.

  • Experience in Product Management in large global organization; as people manager and as an individual contributor.

  • Great balance of deep systems software with business knowledge. Strong analytical, marketing and project management skills.

  • Excellent communication and presentation abilities. Excellent interpersonal skills, peer networking and team play with colleagues and customers.

Ways to stand out from the crowd:

  • Strong Background in modern Data Center networking, including groundbreaking AI techniques for Network Telemetry and Automation.

  • Experience with deep learning, data science, and NVIDIA GPUs.

  • Successful management of technical products throughout their lifecycle.

  • Love technology and passionate about what you do.

The base salary range is 160,000 USD - 310,500 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

Linux
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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