Senior Solution Engineer, Networking

Nvidia

  • Santa Clara, CA
  • Permanent
  • Full-time
  • 28 days ago
The NVIDIA Enterprise Experience (NVEX) Solutions Engineering team is looking for a senior Computer or Software Engineer who is ready to become an authority in ground-breaking network technology used in AI clusters. Our team of software engineers bridge the gap between the customer support teams and R&D, focusing on resolution of tough problems from the front lines and providing the highest level of support for InfiniBand, NVLink, and Spectrum-X network systems that interconnect 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.What you will be doing:Assist various network and AI cluster support teams in reproducing, resolving, and root causing sophisticated customer issuesWork with R&D teams to develop bug fixes, workarounds, and solutions for critical customers using NVIDIA’s network technologiesBecome an authority in NVIDIA network technologies used in AI clusters such as Infiniband, NVLink, and Spectrum-XAnalyze network performance metrics and make tuning recommendations for high-performance, lossless networksDevelop support and analysis tools to help analyze and root cause field issuesDaily use of ground breaking AI tools for software development, log and trace analysis, and source code debuggingOccasional work on weekends or holidays to support customersWhat we need to see:Minimum of a BS in Computer, Electrical, or Software Engineering (or equivalent experience)5-10 years of experience in C programming in Linux and embedded systemsProficiency in PythonAt least 5 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 stacksAt least 5 years of experience directly supporting end-customers, partners, or integrators for network equipment and infrastructuresStrong system software (firmware, BIOS, kernel, driver, operating system) expertiseExperience with container environments (K8s and Docker)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 productsWays to stand out from the crowd:Background with AI infrastructure and HPC networkingExperience programming switch and NIC ASICs and SDKsExperience with Infiniband or other non-Ethernet network technologiesExperience developing or supporting DPUs or SmartNICsKnowledge of HPC performance test tools and NVIDIA AI stacks (NCCL, MPI, DOCA, CUDA)Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.You will also be eligible for equity and .Applications for this job will be accepted at least until August 11, 2025.NVIDIA is committed to fostering a diverse 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.

Nvidia