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# Senior Solution Engineer, Networking

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $76,230.0 - $94,380.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Artificial Intelligence, BIOS, Software Bug Management, Network Operating System (NOS), Nvidia CUDA, Computer Programming, Computer Networks, Software Debugging, Linux, Embedded Software, Ethernet, Network Interface Controllers, Firmware, Data-Flow Analysis, InfiniBand, Networking Hardware, Python (Programming Language), Queue Management Systems, Software Engineering, System Software, Virtual Switching, AI Infrastructure, Network Routers, Graphics Processing Unit (GPU), Computer Network Operations, Computer Network Technologies, State Machines
- **Published:** August 9, 2026
- **Apply:** https://www.jofdav.com/jobs/59163261-senior-solution-engineer-networking

## About the Role

The NVIDIA Enterprise Experience (NVEX) Solutions Engineering team is looking for a senior Computer or Software Engineer. This person will establish expertise in ground-breaking network technology used in AI clusters. Our software engineers connect customer support teams and R&D. They focus on solving tough problems from the front lines. They provide top support for high-speed interconnect technologies like InfiniBand, NVLink, and Spectrum-X that link GPUs and AI compute infrastructure. Candidates must have a software development background in the networking industry either for a network hardware manufacturer or software integrator. It is essential to have a proven grasp of in-field, production network operations and have experience in root-causing customer-found issues down to the source code level, primarily C and Python. Breadth of experience is key. We want to see experience in multiple areas such as network operating systems (NOS), Linux network drivers and internals, network
hardware, NIC software, Smart NICs, DPUs, embedded firmware, Software Defined Networking, and infrastructure management technologies. IPC, race conditions, finite state machines, event processing loops, queue management, network traffic and flow analysis, and software design gaps will be common areas of focus. The individual will get to work across many NVIDIA teams and often interact with both internal and external customers, so superb interpersonal and communication skills are essential. Candidates will need to understand, root cause, and resolve complex issues, and provide detailed explanations of what you find., * Minimum of a BS in Computer, Electrical, or Software Engineering (or equivalent experience)

 * 8+ years of experience in C programming in Linux and embedded systems
 * Proficiency in Python
 * 8+ years of experience developing software for one or more of the following:
 * Linux NIC drivers, switch ASICs and SDKs, embedded network device firmware, Linux based network equipment (routers, switches, gateways, etc), network operating systems, virtual routers, SDN stacks, virtual switching, DPDK, SRIOV stacks
 * At least 3 years of experience directly supporting end-customers, partners, or integrators for network equipment and infrastructures
 * Strong system software (firmware, BIOS, kernel, driver, operating system) expertise
 * Professional-level communication skills, including adjusting communication to the technical level of the audience, and staying calm and focused in negative situations.
 * Passion for learning innovative tech and motivation to work hard on ground-breaking products

Ways to stand out from the crowd:

 * Background with AI infrastructure and HPC networking
 * Experience programming switch and NIC ASICs and SDKs
 * Experience with Infiniband or other non-Ethernet network technologies
 * Experience developing or supporting DPUs or SmartNICs
 * Knowledge of HPC performance test tools and NVIDIA AI stacks (NCCL, MPI, DOCA, CUDA)

## Description

* Assist various network and AI cluster support teams in reproducing, resolving, and root causing sophisticated customer issues
 * Work with R&D teams to develop bug fixes, workarounds, and solutions for critical customers using NVIDIA's network technologies
 * Become an authority in NVIDIA network technologies used in AI clusters such as Infiniband, NVLink, and Spectrum-X
 * Analyze network performance metrics and make tuning recommendations for high-performance, lossless networks
 * Develop support and analysis tools to help analyze and root cause field issues
 * Daily use of ground breaking AI tools for software development, log and trace analysis, and source code debugging
 * Occasional work on weekends or holidays to support customers


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