Senior Network Deployment Engineer, PoP Management - DGX Cloud

Posted Yesterday
Be an Early Applicant
5 Locations
In-Office or Remote
168K-334K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead end-to-end sourcing, procurement, and delivery of infrastructure and circuits for global PoP deployments. Manage carrier and data center relationships, negotiate contracts and SLAs, oversee site readiness, equipment logistics, capacity planning, testing, and documentation to ensure on-time, compliant PoP turn-up and lifecycle activities.
Summary Generated by Built In

At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used for work and play. Our technology impacts the visual experience in video game development, film production, space exploration, medicine, computational finance and automotive design. And we've only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-‐working and creative people to help us seek some of these unrivaled opportunities.

At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the most inquisitive people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play. NVIDIA is seeking a Senior Network Deployment Engineer to help build and scale our global network. In this role, you’ll be responsible for sourcing, procuring and delivering infrastructure and circuits to support Point-of-Presence (PoP) deployments. This role manages vendor relationships, contract negotiations, procurement, and project execution to ensure PoP sites are delivered on-time and meet network capacity, resilience and operational requirements.
 

What you'll be doing:

  • Manage end-to-end provisioning of network services (wavelengths, Ethernet, IP transit, dark fiber & subsea IRU).

  • Partner with carriers and data centers to track orders, delivery, and handoff.

  • Document LOAs, CFAs, and circuit details in inventory and ticketing systems. Support circuit testing/troubleshooting during turn-up.

  • Source and procure POP space, power, cross-connects and related services.

  • Lead vendor selection, contract negotiations, and SLA management. Coordinate PoP handover schedules with the network deployment and engineering teams, legal and procurement.

  • Manage site readiness schedules, equipment logistics and service requests. Plan for power capacity, rack utilization and future growth potential.

  • Monitor vendor performance, operational costs and contract compliance. Maintain documentation for contracts, power allocations and deployment standards.

  • Support PoP expansions, upgrades and decommissioning activities. Keep projects on track in a fast-moving, deadline-driven environment.

What we need to see:

  • Bachelor’s degree in network engineering, telecommunications, or a related field, or equivalent experience. 

  • 8+ years of relevant work experience 

  • Knowledge of transport technologies (DWDM, Ethernet, OTN, MPLS) Technical knowledge of datacenter rack and power infrastructure and equipment 

  • Familiarity with LOA/CFA, cross-connects, and datacenter environments

  • Ability to translate engineering requirements into requests for proposal (RFPs) and carrier service orders.

  • Experience in researching, negotiating and leasing space/power for PoPs

  • Expertise in the end-to-end procurement of subsea, spectrum, and IRU assets Expertise in executing global sourcing initiatives across multiple international markets

  • Detail oriented with an attested ability to multitask in a dynamic environment with shifting priorities and changing requirements

  • Strength working independently and actively with minimal direction

 Ways to stand out from the crowd:

  • PM Certification/training a strong plus

  • Experience with multi-cloud networking (AWS VPC, Azure VNet, GCP VPC)

  • Excellent architecture documentation and interpersonal skills. Ability to lead cross-functional technical initiatives.

NVIDIA’s deep learning platforms have made major impact to various fields is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hard-working and creative people to help us take on more of these unique opportunities in deep learning cloud solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working 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.

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 July 21, 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

  • Bachelor's degree in network engineering, telecommunications, or related field, or equivalent experience
  • 8+ years of relevant work experience
  • Knowledge of transport technologies (DWDM, Ethernet, OTN, MPLS)
  • Technical knowledge of datacenter rack and power infrastructure and equipment
  • Familiarity with LOA/CFA, cross-connects, and datacenter environments
  • Ability to translate engineering requirements into RFPs and carrier service orders
  • Experience researching, negotiating and leasing space/power for PoPs
  • Expertise in end-to-end procurement of subsea, spectrum, and IRU assets
  • Expertise executing global sourcing initiatives across multiple international markets
  • Detail oriented with ability to multitask in a dynamic environment
  • Ability to work independently with minimal direction
  • PM Certification or training
  • Experience with multi-cloud networking (AWS VPC, Azure VNet, GCP VPC)
  • Strong architecture documentation and interpersonal skills; ability to lead cross-functional initiatives

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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