NVIDIAPosted 3d ago

Senior Solution Engineer, Networking

Senior Solution Engineer, Networking at NVIDIA scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

US, CA, Santa ClaraseniorFull time$168k-$270k

AI in this role

Senior Solution Engineer supporting high-speed interconnect technologies and networking infrastructure for AI clusters.

infinibandnvlinkpythonc

networkinglinuxfirmwaredistributed-systemstroubleshooting

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

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.

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)
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 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)

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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 26, 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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

NetworkingLinuxFirmwareDistributed SystemsTroubleshootingInfinibandNvlinkPython

Questions you could be asked

Tell me about a project where networking was part of your work. What did you do?
Tell me about a project where linux was part of your work. What did you do?
Tell me about a project where firmware was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where troubleshooting was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Networking, Linux, Firmware, Distributed Systems, and Troubleshooting. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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