Senior Network Engineer - Deployments

Posted Yesterday
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Santa Clara, CA, USA
In-Office
168K-334K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead complex, large-scale campus network deployment projects, managing design, implementation, automation, and troubleshooting of wired and wireless network infrastructures.
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 is seeking a highly skilled Senior Network Deployment Engineer with 10+ years of progressive experience to lead complex, large-scale campus network deployment projects from inception to completion. The ideal candidate will be a hands-on leader responsible for the design, build-out, and continuous maintenance of high-performance enterprise campus networks (wired and wireless). A key focus of this role is employing network automation tools and scripting (Ansible, Python) for efficient, repeatable deployments, coupled with strong project management skills for leading and executing end-to-end site builds globally.

What you will be doing:

  • Lead the comprehensive design, architecture, implementation, and optimization of complex wired and wireless campus network infrastructures.

  • Manage and implement end-to-end site deployments, overseeing all phases from requirements gathering and architecture design through configuration, testing, cutover, and final operational handover.

  • Collaborate cross-functionally with internal IT teams, security, data center teams, facilities, and external vendors to ensure seamless project delivery.

  • Create, maintain, and enforce robust network documentation (diagrams, standards, templates) and best practices.

  • Drive network automation initiatives by developing and utilizing scripts and tools (e.g., Python, Ansible, Netmiko) for configuration management, deployment, and operational tasks.

  • Provide advanced, third-level troubleshooting and act as an escalation point for complex network issues across all technologies.

  • Proactively manage project timelines and resources, ensuring on-time and on-budget completion and providing regular status updates.

What we need to see:

  • Bachelor’s degree (or equivalent experience) in Computer Science, IT, Engineering, or related field.

  • 10+ years of progressive network engineering experience with strong emphasis on enterprise campus design and large-scale deployments.

  • Strong fundamentals in TCP/IP, routing and switching, and hands-on operational experience driving production cutovers.

  • Hands-on experience (or strong familiarity) with one or more of: Cisco, Arista, Mist, Aruba, Cumulus Linux.

  • Working knowledge of modern network designs and protocols such as BGP, and exposure to EVPN/VXLAN (where applicable).

  • Experience with NAC and authentication technologies: 802.1X, RADIUS, TACACS+, EAP, CoA (wired and wireless).

  • Security experience including hands-on work with Palo Alto firewalls, enterprise firewall policy, and troubleshooting.

  • Familiarity with load balancers (e.g., F5, Citrix) and how they integrate into enterprise network services.

  • Proficiency in Linux for troubleshooting, tooling, and deploying/operating network services; comfort with packet capture tools (e.g., Wireshark).

  • Demonstrated ability to automate workflows (at least medium proficiency) using Python and automation frameworks such as Ansible/Salt, plus strong communication and multi-project ownership.

Ways to stand out from the crowd:

  • CCNP/CCIE (Enterprise Infrastructure or Wireless) or comparable advanced industry certifications.

  • Experience with RF planning, site surveys, and hands-on Wi-Fi troubleshooting in large campus deployments.

  • Strong experience with SD-WAN and IPsec VPNs, including design, deployment, and operationalization.

  • Experience integrating network deployments with monitoring/telemetry and performance analysis platforms (dashboards, alerting, validation).

  • Track record of delivering repeatable, automated site builds using standardized templates, validation gates, and deployment pipelines.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. With competitive salaries and a generous benefits package, we have some of the most forward-thinking and hardworking people in the world working for us. If you're a creative and autonomous engineer with a real passion for building reliable networks at scale, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 208,000 USD - 333,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 16, 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

  • 10+ years of progressive network engineering experience
  • Bachelor's degree in Computer Science, IT, Engineering, or related field
  • Strong fundamentals in TCP/IP, routing and switching
  • Hands-on experience with Cisco, Arista, Mist, Aruba, Cumulus Linux
  • Experience with NAC and authentication technologies
  • Security experience with Palo Alto firewalls
  • Familiarity with load balancers such as F5 or Citrix
  • Proficiency in Linux for troubleshooting and deploying network services
  • Ability to automate workflows using Python and Ansible

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.

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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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