Today, NVIDIA is 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 are immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
NVIDIA is transforming how the world builds and operates computing infrastructure for accelerated computing and AI. Our Network Deployment Engineering team designs and delivers the global network infrastructure supporting NVIDIA's data centers, offices, labs, and critical business services. We are looking for a Senior Network Deployment Engineer to lead complex data center and WAN deployments from architecture and design through production readiness and operational handoff. This highly technical, hands-on role combines large-scale network engineering, deployment execution, advanced troubleshooting, and infrastructure automation. The position offers the opportunity to work across modern EVPN/VXLAN fabrics, global WAN connectivity, multi-vendor networking, software-driven infrastructure, and emerging AI networking technologies. The ideal candidate combines deep networking expertise with strong execution skills and an approach focused on transforming repeatable engineering processes into scalable automation.
What you’ll be doing
- Lead end-to-end deployment of complex global data center and WAN infrastructure, from requirements and technical design through implementation, validation, production cutover, and operational handoff.
- Design, build, and optimize highly available network architectures using BGP, EVPN, VXLAN, underlay/overlay routing, multi-tenancy, segmentation, SD-WAN, and IPsec technologies.
- Deliver large-scale, multi-vendor environments incorporating technologies such as Arista, NVIDIA Cumulus Linux, Palo Alto Networks, F5, Citrix, and associated network services.
- Develop and expand network automation using Python, Ansible, Salt, APIs, and related frameworks to make deployments repeatable, scalable, auditable, and less dependent on manual configuration.
- Partner with Network Architecture, Network Operations, Security, Data Center Engineering, Facilities, compute and infrastructure teams, TPMs, and external vendors to deliver complex infrastructure programs globally.
- Establish rigorous deployment practices covering network standards, topology documentation, implementation procedures, configuration validation, pre/post-change testing, telemetry, and production readiness.
- Serve as a senior technical escalation point, applying deep routing knowledge, Linux tools, packet-level troubleshooting, telemetry, and performance analysis to resolve complex network issues.
- Translate lessons from production deployments into reusable engineering standards, automated workflows, design improvements, and more efficient deployment models across NVIDIA's global infrastructure.
What we need to see
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or a related technical field, or equivalent experience.
- 8+ years of progressive network engineering experience, including significant hands-on responsibility for large-scale data center, WAN, or enterprise network design and deployment.
- 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.
- Proven ability to independently drive complex network deployments through design, implementation, testing, migration or cutover, troubleshooting, and production acceptance.
- Hands-on expertise with both Arista and NVIDIA Cumulus Linux, including configuration, deployment, operations, and Linux-based network troubleshooting.
- Proficiency with network automation and scripting, including technologies such as Python, Ansible, Salt, REST APIs, or comparable automation frameworks.
- Advanced troubleshooting capabilities across routing, switching, overlays, firewalls, load balancers, and network connectivity, including packet-level analysis using tools such as Wireshark or tcpdump.
- Strong technical communication, organizational, and project execution skills, with demonstrated ability to coordinate cross-functional stakeholders and deliver multiple concurrent infrastructure projects.
Ways to stand out from the crowd
- Advanced knowledge of Palo Alto Networks firewalls, F5 or Citrix load balancing, SD-WAN, IPsec VPNs, and large-scale network segmentation architectures.
- Design or deployment background with AI/HPC networking, including NVIDIA Spectrum-X, RoCEv2, RDMA, lossless Ethernet, or native InfiniBand fabrics.
- Strong understanding of network telemetry, observability, automated validation, configuration compliance, and closed-loop infrastructure automation.
- Hands-on exposure to modern AI or agentic software frameworks applied to network engineering, including AI-assisted deployment, validation, troubleshooting, or infrastructure operations.
- Advanced networking certifications such as CCNP, CCIE, JNCIE, or equivalent demonstrated technical depth.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence.
NVIDIA is widely recognized as one of the world’s leading technology companies, bringing together skilled, driven people to solve complex problems at scale. This role offers the opportunity to grow design ownership, work on high-impact enterprise products, and help create thoughtful experiences alongside a collaborative team!
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 September 20, 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.