Senior Software Engineer - Traffic and Networking

Posted 3 Days Ago
Be an Early Applicant
Taipei City, TWN
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and operate scalable software for NVIDIA’s cloud infrastructure, focusing on network and systems automation in dynamic, multi-tenant environments. Design distributed systems, APIs, networking solutions, and secure communications; maintain ownership from development through production. Collaborate across teams, contribute to open-source projects, communicate roadmaps, and support technologies including BGP, IPv6, EVPN/VXLAN, Kubernetes, and cloud-native networking.
Summary Generated by Built In

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 our outstanding team at NVIDIA to craft the future of computing! As a Senior Software Engineer - Traffic & Networking, you'll have the chance to define and deliver innovative solutions for our cloud infrastructure. Collaborate with top engineers, architects, and managers to build powerful systems for global customers. Develop secure and efficient software for a significant impact.
 

What You’ll Be Doing:

  • Collaborate across teams to develop and deliver scalable software for our brand new cloud infrastructure.

  • Design, build, and maintain network and systems automation solutions for highly dynamic, multi-tenant environments.

  • Engage closely with partners to understand their requirements and ensure an outstanding user experience.

  • Contribute to and lead open-source projects and communities relevant to our work.

  • Share roadmaps, technical demos, and vision with collaborators and leaders to provide updates and show progress.

  • Maintain ownership of your work from the initial development stage through to production, ensuring flawless execution.

What We Need to See:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

  • At least 12 years of experience designing and building distributed systems.

  • Advanced programming skills in one or more languages, including C, C++, Go, or Rust.

  • Proven experience building and maintaining APIs.

  • Knowledge of asynchronous programming, threading, state machines, and data structures.

  • Experience with data persistence and storage (SQL or equivalent).

  • Understanding of secure communication protocols such as mutual TLS or IPsec.

  • Strong knowledge of networking fundamentals and protocols, including IP, IPv6, BGP, HTTP, ICMP, and tunneling protocols.

Ways to Stand Out from the crowd:

  • Background working at a hyperscale cloud service provider and experience designing, operating, or automating EVPN/VXLAN fabrics and other overlay networking solutions.

  • Deep familiarity with IPv6 deployment, routing, address management, and dual-stack cloud environments.

  • Experience with BGP-based network architectures, traffic engineering, and scalable routing design.

  • Familiarity with host management technologies such as DHCP, Redfish, and UEFI, as well as security services including TPM, TXT, and Secure Boot as well as exposure to Kubernetes, distributed task scheduling systems, and cloud-native networking.

  • Understanding of Site Reliability Engineering principles, including observability, service-level objectives, and production operations.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, a related field, or equivalent experience
  • At least 12 years of experience designing and building distributed systems
  • Advanced programming skills in one or more of C, C++, Go, or Rust
  • Experience building and maintaining APIs
  • Knowledge of asynchronous programming, threading, state machines, and data structures
  • Experience with data persistence and storage using SQL or equivalent
  • Understanding of secure communication protocols such as mutual TLS or IPsec
  • Strong knowledge of networking fundamentals and protocols, including IP, IPv6, BGP, HTTP, ICMP, and tunneling protocols
  • Experience with hyperscale cloud service providers and EVPN/VXLAN fabrics or overlay networking solutions
  • Experience with IPv6 deployment, routing, address management, and dual-stack cloud environments
  • Experience with BGP-based network architectures, traffic engineering, and scalable routing design
  • Familiarity with DHCP, Redfish, UEFI, TPM, TXT, Secure Boot, Kubernetes, distributed task scheduling, and cloud-native networking
  • Understanding of Site Reliability Engineering principles, observability, service-level objectives, and production operations

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.

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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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