Network Procurement and Provisioning Engineer

Reposted 4 Days Ago
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Hiring Remotely in Hong Kong
Remote
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Network Procurement and Provisioning Engineer at NVIDIA, you will support network capacity planning, assist with vendor proposals, and drive provisioning workflows for circuit upgrades.
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.

Join NVIDIA as an Engineer in Network Procurement and Provisioning, where you'll be part of a dedicated team at the forefront of technology. Our diverse and high-reaching group collaborates to develop innovation, ensuring seamless delivery in every project. As we expand our network capabilities, you'll play a crucial role in supporting our growth and maintaining our world-class standards!

What you'll be doing:

  • Support network capacity planning efforts for subsea cable capacity, terrestrial IRUs, and other long-haul and metro connectivity assets.

  • Assist in reviewing vendor proposals, pricing, and technical specifications for backbone and edge connectivity.

  • Work with network architecture to translate development requirements into concrete capacity and route requests.

  • Coordinate data gathering and documentation needed for commercial negotiations and contract execution.

  • Drive and track provisioning workflows for new and upgraded circuits, ensuring accurate implementation and documentation in inventory systems.

What we need to see:

  • 7-10 years ofexperience in telecommunications, network engineering, or network capacity/procurement roles.

  • Familiarity with long-haul and metro connectivity concepts, including subsea systems, dark fiber, and IRU/lease models.

  • Understanding of optical networking, backbone routing, and basic capacity planning principles.

  • Experience working with carriers or infrastructure providers, or supporting vendor management processes.

  • Strong analytical and interpersonal skills, with the ability to manage multiple circuit orders and provisioning tasks in parallel.

  • Ability to collaborate effectively with engineering, operations, finance, and legal partners.

  • Bachelor’s degree in Engineering, Telecommunications, or a related field, or equivalent experience in practice.

Ways To Stand Out from the Crowd:

  • Hands-on experience with subsea capacity or dark fiber procurement and turn-up.

  • Exposure to hyperscale or cloud-scale backbone networks and related planning tools.

  • Experience with network inventory, ordering, or workflow systems (e.g., circuit databases, provisioning tools, or OSS).

  • Demonstrated ability to analyze cost, performance, and resiliency trade-offs for network routes and capacity options.

  • Strong documentation habits and comfort building runbooks, trackers, and process playbooks.

Top Skills

Backbone Routing
Capacity Planning
Dark Fiber
Iru/Lease Models
Network Inventory
Optical Networking
Ordering
Oss
Provisioning Tools
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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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