Used Tools & Technologies
HPCRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Software Development @ 4
Python @ 4
CI/CD @ 4
Communication @ 4
Networking @ 4
GPU @ 4
Deep Learning @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is looking for a Senior Network Engineer to develop a cloud network infrastructure. The goal is to craft a reliable, scalable and efficient network to support NVIDIA software development workflows and tools, including CI/CD pipelines, compute resource management flow and developer productivity tools. The network is serving the needs across the whole software stack for NVIDIA from Graphics Drivers to Autonomous Vehicles to Deep Learning frameworks. To achieve this goal, we are looking for an engineer who has a deep understanding of L3 underlay networks, outstanding design skills and a track record in building and delivering large-scale networks.
Responsibilities
- Lead the overall architecture and design of our cloud network infrastructure including intra-DC, inter-DC, Corp IT, and Internet connectivity.
- Implement, manage and troubleshoot entire network stacks.
- Automate network infrastructure end-to-end including provisioning, management and monitoring.
Requirements
- Expert knowledge in large scale IP Networking technologies and protocols such as MP-BGP, OSPF, ISIS, VRF, VXLAN, EVPN, QoS, GRE, IPSEC, DNS, MACsec.
- Hands-on experience around peering and datacenter interconnect technologies: PNI, Transit, Exchange, Passive DWDM, Wave circuits.
- Ability to write and understand Python and Shell scripts and programs for automation, tools, frameworks, dashboards, alarms.
- Understanding of network virtualization such as VRFs and VXLAN. Familiarity with Arista, Cumulus OS, Fortinet OS. Expert in underlay network design.
- Strong track record of implementing network services in a variety of distributed computing environments.
- Experience architecting, building, and deploying networks for large scale deployments (thousands of machines) used by thousands of people. Familiarity with designing and building POPs and large scale WANs.
- Hands-on experience with high performance network and network optimization in highly-available, large-scale, multisite, international environments.
- Excellent communication and presentation skills.
- 8+ years of experience in networking, with specific experience on Arista switches.
- BS degree or equivalent experience.
Ways To Stand Out From The Crowd
- Hands-on background building tooling and automation for provisioning, monitoring, and managing network infrastructure.
- Hands-on experience designing and implementing networks at scale, such as automated deployments (e.g., ZTP).
- Passionate about innovating and investing in ground-breaking technologies.
Compensation & Logistics
- Base salary ranges by level:
- Level 4: 168,000 USD - 264,500 USD
- Level 5: 208,000 USD - 333,500 USD
- You will also be eligible for equity and benefits (see NVIDIA benefits).
- Applications for this job will be accepted at least until May 16, 2026.
- NVIDIA uses AI tools in its recruiting processes.
Company
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 creativity and discovery, and powers technologies from artificial intelligence to autonomous cars.
Equal Opportunity
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate 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.