Senior Solution Engineer, Networking

Details

NVIDIA's NVIDIA Enterprise Experience (NVEX) Solutions Engineering team is seeking a senior computer or software engineer to establish expertise in networking technologies used in AI clusters. The role connects customer support teams and R&D, focusing on solving complex production issues involving high-speed interconnect technologies such as InfiniBand, NVLink, and Spectrum-X.

The successful candidate will have a software development background in the networking industry, experience with production network operations, and the ability to root-cause customer issues down to the source-code level, primarily using C and Python. Relevant areas include network operating systems, Linux network drivers and internals, network hardware, NIC software, SmartNICs, DPUs, embedded firmware, Software-Defined Networking, and infrastructure management technologies. The role involves investigating IPC, race conditions, finite state machines, event-processing loops, queue management, network traffic and flow analysis, and software design gaps.

Responsibilities

• Assist 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 networking technologies.
• Become an authority in NVIDIA networking technologies used in AI clusters, including InfiniBand, NVLink, and Spectrum-X.
• Analyze network performance metrics and make tuning recommendations for high-performance, lossless networks.
• Develop support and analysis tools to investigate and root-cause field issues.
• Use AI tools for software development, log and trace analysis, and source-code debugging.
• Occasionally work on weekends or holidays to support customers.
• Interact with internal and external customers and provide detailed explanations of findings.

Requirements

• Bachelor's degree in Computer, Electrical, or Software Engineering, or equivalent experience.
• At least 8 years of experience programming in C on Linux and embedded systems.
• Proficiency in Python.
• At least 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, including routers, switches, and gateways
  • Network operating systems
  • Virtual routers
  • Software-Defined Networking stacks
  • Virtual switching
  • DPDK
  • SR-IOV stacks
• At least 3 years of experience directly supporting end customers, partners, or integrators for network equipment and infrastructure.
• Strong system software expertise, including firmware, BIOS, kernels, drivers, and operating systems.
• Professional communication skills, including the ability to adjust communication to the audience's technical level and remain calm and focused in negative situations.
• Passion for learning innovative technologies and working on advanced products.

Preferred Qualifications

• Background in AI infrastructure and high-performance computing networking.
• Experience programming switch and NIC ASICs and SDKs.
• Experience with InfiniBand or other non-Ethernet networking technologies.
• Experience developing or supporting DPUs or SmartNICs.
• Knowledge of HPC performance-testing tools and NVIDIA AI stacks, including NCCL, MPI, DOCA, and CUDA.

Benefits

• Base salary determined by location, experience, and compensation for similar positions.
• Base salary range of USD 168,000–270,250 for Level 4 or USD 200,000–322,000 for Level 5.
• Equity and benefits.
• Comprehensive benefits package.
• NVIDIA is an equal opportunity employer committed to an inclusive work environment.

Applications will be accepted at least until August 11, 2026.