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 8+ years of progressive experience to lead complex, large-scale 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 network connectivity projects including Cloud connectivity, WAN peerings and DC builds. 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 cloud and WAN core 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.
- 8+ years of progressive network engineering experience, including significant hands-on responsibility for large-scale data center, WAN, or enterprise network design and deployment
- 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, Cumulus Linux.
- “Deep technical knowledge of BGP and IP routing, along with strong understanding of EVPN/VXLAN leaf-spine or Clos/fat-tree architectures, routing policy, segmentation, and multi-tenant networking.”
- 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 or comparable advanced industry certifications.
- 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.
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 or equivalent experience in Computer Science, IT, Engineering, or a related field
- 8+ years of progressive network engineering experience
- Hands-on experience with large-scale data center, WAN, or enterprise network design and deployment
- Strong knowledge of TCP/IP, routing, switching, and production cutovers
- Hands-on experience or strong familiarity with Cisco, Arista, or Cumulus Linux
- Deep technical knowledge of BGP, IP routing, EVPN/VXLAN, leaf-spine or Clos architectures, routing policy, segmentation, and multi-tenant networking
- Hands-on experience with Palo Alto firewalls, enterprise firewall policy, and troubleshooting
- Familiarity with F5 or Citrix load balancers and enterprise network service integration
- Linux proficiency for troubleshooting, tooling, and network service operations
- Experience with packet capture tools such as Wireshark
- At least medium proficiency automating workflows with Python and frameworks such as Ansible or Salt
- Strong communication and ability to own multiple projects
- CCNP, CCIE, or comparable advanced industry certification
- Strong SD-WAN and IPsec VPN design, deployment, and operational experience
- Experience integrating network deployments with monitoring, telemetry, dashboards, alerting, or validation platforms
- Experience delivering repeatable automated site builds using standardized templates, validation gates, and deployment pipelines
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.
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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.
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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.
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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.
NVIDIA Insights
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.”







