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NVIDIA

Designs the chips and software that power AI

Senior Solution Engineer - Networking

Solution EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A minimum of a Bachelor of Science in Computer, Electrical, or Software Engineering, or equivalent experience.
  • At least 8 years of experience programming in C in Linux and embedded systems.
  • Proficiency in Python.
  • At least 8 years of experience developing software for one or more of the following: Linux network interface card drivers, switch application-specific integrated circuits and software development kits, embedded network firmware, Linux-based network equipment such as routers, switches, and gateways, network operating systems, virtual routers, software-defined networking stacks, virtual switching, Data Plane Development Kit, or single-root input/output virtualization stacks.
  • At least 3 years of experience directly supporting end customers, partners, or integrators for network equipment and infrastructure.
  • Strong expertise in system software, including firmware, BIOS, kernel, driver, and operating system.
  • Professional-level communication skills, including adjusting communication to the technical level of the audience and remaining calm and focused in negative situations.
  • Motivation to learn innovative technology and work on new products.
  • Software development background in the networking industry, either for a network hardware manufacturer or a software integrator.
  • Proven understanding of in-field production network operations and experience root-causing customer-found issues down to source code level, primarily in C and Python.
  • Experience across multiple areas such as network operating systems, Linux network drivers and internals, network hardware, network interface card software, SmartNICs, data processing units, embedded firmware, software-defined networking, and infrastructure management technologies.
  • Knowledge of inter-process communication, race conditions, finite state machines, event processing loops, queue management, network traffic and flow analysis, and software design gaps.
  • Ability to understand, root cause, and resolve complex issues and provide detailed explanations of findings.

Responsibilities

  • Assist network and AI cluster support teams in reproducing, resolving, and root-causing sophisticated customer issues.
  • Work with research and development teams to develop bug fixes, workarounds, and solutions for critical customers using NVIDIA network technologies.
  • Develop expertise in NVIDIA network 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 analyze 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 NVIDIA teams.

Desired Qualifications

  • Background with AI infrastructure and high-performance computing networking.
  • Experience programming switch and network interface controller application-specific integrated circuits and software development kits.
  • Experience with InfiniBand or other non-Ethernet network technologies.
  • Experience developing or supporting data processing units or SmartNICs.
  • Knowledge of high-performance computing performance test tools and NVIDIA AI stacks, including NCCL, MPI, DOCA, and CUDA.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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