Manager, Customer Enablement Engineering - Networking

Posted 4 Days Ago
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Santa Clara, CA, USA
In-Office
224K-431K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Manage customer enablement engineers supporting NVIDIA Cumulus Linux and data center networking solutions. Lead customer engagement, complex support cases, defect analysis, regression coverage, testing, roadmap alignment, and cross-functional collaboration. Develop engineers, manage a team, communicate with executives and customers, and help qualify network operating system software. The role requires extensive software quality engineering, networking protocols, scripting, Linux, test tools, and management experience.
Summary Generated by Built In

NVIDIA is seeking a top-tier Customer Enablement Engineering Manager to join the NVIDIA-Cumulus Engineering Team! You will play an exciting role that allows you to Manage/lead customer enablement engineers of NVIDIA-Cumulus Linux and take full ownership of tasks to drive the joint success of ground breaking solutions in Data Center networking technologies. You will be part of a multifaceted Software Team responsible for the qualification of the Network Operating System software and serve as the key link between NVIDIA customers and the engineering team and engage with executives at all levels both inside NVIDIA and with customers/partners.

What you'll be doing:

  • Develop a deep understanding of the customer’s solutions, architecture, and internal infrastructure, identifying where NVIDIA platforms, software, and services can bring clear business and technical value.

  • Act as the “feet on the ground” for critical and complex support cases, ensuring timely resolution and clear communication when hands-on engagement is required.

  • Multi-functional Collaboration: Work closely with Product and Program Management, Engineering and Production line teams, and HR to achieve business objectives, improve user experiences, and develop user-friendly production test content.

  • Coordinate closely with relevant NVIDIA product, solution, and engineering groups to align roadmaps, resolve issues, and jointly shape solutions for the partner.

  • Guide team members in crafting career development plans and setting achievable goals.

  • Analyzing the customer-found defects, identifying the test gaps, and ensuring they are covered in regression.

  • Collaborate with design, and other internal engineering groups to identify, report, and resolve issues found during testing.

What we need to see:

  • B.S. degree or equivalent experience in Engineering/Computer Science/related field.

  • 10+ overall years of proven experience in Software Quality Engineering and Customer Engagements.

  • 5+ years of management experience with a team of 5+ engineers.

  • This role demands strong leadership skills and technical expertise in software and hardware systems. It also requires effective collaboration across various departments to drive product development and delivery.

  • Excellent communication, leadership, people management, and technical presentation skills.

  • Hands-on experience on any Layer2 and Layer3 protocols like MLAG, VLAN, STP, OSPF, BGP, EVPN and Data Center technologies etc.

  • Experience with using test tools from Ixia or Spirent and working experience of test management tools.

  • Strong skills in Python or other scripting languages are a must.

  • Good experience working on Unix or Linux-based OS.

  • Flexibility to work across time zones.

Ways to stand out from the crowd:

  • Deep competence in the field of Data Center networking technologies and cloud native technologies. Experience in working with customers on deployment and pre-production activities.

  • Experience in customer account management ideally with large telecommunications or cloud providers.

  • Experience that spans the entire system including data forwarding, Linux kernel networking, and system software.

  • Significant experience in the data center environment and with cloud-native concepts

  • Experience with CI methodology & tools (Git, Gerrit, and Jenkins).

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
224,000 USD – 356,500 USD for Level 3; and 272,000 USD – 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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

  • B.S. degree or equivalent experience in Engineering, Computer Science, or a related field
  • 10+ years of experience in Software Quality Engineering and Customer Engagements
  • 5+ years of management experience leading a team of 5 or more engineers
  • Strong leadership, technical expertise in software and hardware systems, collaboration, communication, people management, and technical presentation skills
  • Hands-on experience with Layer 2 and Layer 3 protocols such as MLAG, VLAN, STP, OSPF, BGP, or EVPN
  • Experience using Ixia or Spirent test tools and test management tools
  • Strong Python or other scripting language skills
  • Experience working with Unix or Linux-based operating systems
  • Flexibility to work across time zones
  • Data center networking and cloud-native technology expertise
  • Customer deployment and pre-production experience
  • Customer account management experience with large telecommunications or cloud providers
  • Experience spanning data forwarding, Linux kernel networking, and system software
  • Experience with continuous integration methodology and tools including Git, Gerrit, and Jenkins

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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

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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