NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Mellanox Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software.
Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing development related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products.
What you'll be doing:
Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to Networking/switching products.
Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA Networking products.
Take ownership and drive customer issues with Ethernet or InfiniBand switch network deployments from inception to resolution.
Bring independent analysis, communication, and problem-solving to customer experience.
Collaborate with engineering to document, recreate and solve issues.
What we need to see:
BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience).
5+ years system software development and troubleshooting experience, ideally with some customer facing.
Experience developing with Python, C and C++ in kernel and/or application space and/or embedded software.
Very good familiarity with Linux (tools, utilities, kernel functionality). Hands-on experience with containers and virtualization technologies.
Proven ability to deeply analyze IPv4, IPv6, Layer 2 switching, TCP/IP and routing networking protocols (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF).
Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented.
Ways to stand out from the crowd:
Experience in solving problems in large-scale network environments with overlay technologies (BGP, OSPF, VXLAN, EVPN).
Configuration and operational expertise with network switch/router platforms (i.e. IOS, JunOS, EOS).
Experience with SRv6 technology, HPC, low-latency systems and performance tuning.
Contributions to networking related open-source projects such as Free Range Routing (FRR) and/or Bird.
Experience with AI coding tools, AI agents, etc.
Skills Required
- BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience).
- 5+ years system software development and troubleshooting experience.
- Customer-facing experience (ideally).
- Experience developing with Python, C and C++ in kernel and/or application space and/or embedded software.
- Strong familiarity with Linux (tools, utilities, kernel functionality).
- Hands-on experience with containers and virtualization technologies.
- Deep analysis skills for IPv4, IPv6, Layer 2 switching, TCP/IP and routing protocols (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF).
- Experience with overlay technologies and large-scale network environments (BGP, OSPF, VXLAN, EVPN).
- Configuration and operational expertise with network switch/router platforms (IOS, JunOS, EOS).
- Experience with SRv6 technology, HPC, low-latency systems and performance tuning.
- Contributions to networking open-source projects (e.g., FRR, Bird).
- Experience with AI coding tools or AI agents.
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.”
