Senior Solution Engineer, Networking

Posted 7 Days Ago
Be an Early Applicant
6 Locations
In-Office
168K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
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.
Summary Generated by Built In

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 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)

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 August 11, 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.

Skills Required

  • 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 developing software for Linux NIC drivers
  • 8+ years developing software for switch ASICs and SDKs
  • 8+ years developing embedded network device firmware
  • 8+ years with Linux-based network equipment (routers, switches, gateways)
  • 8+ years with network operating systems, virtual routers, SDN stacks, or virtual switching
  • 8+ years with DPDK or SR-IOV stacks
  • At least 3 years directly supporting end-customers, partners, or integrators for network equipment and infrastructures
  • Strong system software expertise (firmware, BIOS, kernel, drivers, operating systems)
  • Professional-level communication skills; able to adjust technical level and stay calm in negative situations
  • Passion for learning innovative technology and motivation to work on ground-breaking products
  • 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)

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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