NVIDIA Logo

NVIDIA

Senior Solution Engineer, Networking

Posted 13 Days Ago
Be an Early Applicant
In-Office
Santa Clara, CA, USA
168K-322K Annually
Senior level
In-Office
Santa Clara, CA, USA
168K-322K Annually
Senior level
Supports and root-causes complex customer issues involving NVIDIA networking and AI cluster technologies. Develops bug fixes, workarounds, diagnostic tools, and performance-tuning recommendations in collaboration with R&D and support teams. Works with InfiniBand, NVLink, Spectrum-X, and high-performance lossless networks, analyzing logs, traces, metrics, and source code. Provides customer support and may work occasional weekends or holidays.
The summary above was generated by AI

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.

Join us!

What you will be doing:

  • 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

What we need to see:

  • Minimum of a BS in Computer, Electrical, or Software Engineering (or equivalent experience)

  • 5+ years of experience in C or Python development on Linux platforms

  • 8+ years of experience developing, testing, and debugging 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:

  • Experience developing drivers or firmeware for switch and NIC ASICs

  • Background with AI infrastructure and HPC networking

  • 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)

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 - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 15, 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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

Yesterday
In-Office
Santa Clara, CA, USA
168K-322K Annually
Senior level
168K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Develop and support NVIDIA networking technologies for AI clusters, including InfiniBand, NVLink, and Spectrum-X. Reproduce and root-cause complex customer issues down to source code, collaborate with R&D on fixes, analyze high-performance network metrics, and create diagnostic tools. The role requires extensive C and Python development in Linux and embedded systems, networking expertise, customer support experience, and strong communication skills. Occasional weekend or holiday support may be required.
Top Skills: Ai InfrastructureBiosCCudaDocaDpdkDpusEmbedded Network FirmwareEmbedded SystemsGatewaysHpc NetworkingInfinibandLinuxLinux KernelLinux Nic DriversMpiNcclNetwork Operating SystemsNetwork SdksNvlinkPythonRoutersSmartnicsSoftware Defined NetworkingSpectrum-XSr-IovSwitch AsicsSwitchesVirtual RoutersVirtual Switching
One Month Ago
In-Office
Santa Clara, CA, USA
168K-322K Annually
Senior level
168K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Provide advanced support and root-cause analysis for NVIDIA networking technologies in AI clusters. Reproduce and resolve customer issues, develop fixes and tools, analyze performance/tuning for high-performance lossless networks, collaborate with R&D and customers, and occasionally support outside regular hours.
Top Skills: CCudaDocaDpdkDpusEmbedded Network FirmwareInfinibandLinuxLinux Nic DriversMpiNcclNetwork Operating SystemsNvlinkPythonSdksSdnSmartnicsSpectrum-XSr-IovSwitch AsicsVirtual RoutersVirtual Switching
44 Minutes Ago
Hybrid
75K-140K Annually
Senior level
75K-140K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Manage complex and litigated auto and homeowners casualty claims, including investigation, coverage and liability evaluation, damages assessment, settlement strategy, reserves, and litigation coordination. Collaborate with counsel, attend legal proceedings, prepare reports, identify suspicious claims and subrogation opportunities, oversee legal billing, communicate with stakeholders, and mentor colleagues or support regulatory matters.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account