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NVIDIA

Designs the chips and software that power AI

Field Application Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 15 years of experience in a customer-facing technical role such as Field Application Engineer, Solutions Architect, or Systems Engineer in the datacenter, high-performance computing, networking, or telecom hardware ecosystem.
  • A Master of Science or PhD in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent experience.
  • Strong Linux systems knowledge, including kernel modules, driver stacks, Kubernetes or OpenShift operators, container runtimes, and firmware update workflows.
  • Knowledge of networking fundamentals, including Ethernet, InfiniBand, Single Root I/O Virtualization, Remote Direct Memory Access, and network interface card configuration.
  • Understanding of NVIDIA GPU platforms such as HGX, MGX, and DGX, CUDA, GPU Operator, and DCGM.
  • Ability to read schematics, understand PCIe topology, engage in thermal and mechanical design reviews, and participate in board-level bring-up and debugging.

Responsibilities

  • Support integration of NVIDIA silicon—including GPUs, ConnectX network interface cards, BlueField data processing units, Grace and Vera CPUs—into partner system architectures, including schematic reviews, PCB stack-up reviews, and EVT/DVT bring-up.
  • Track, reproduce, and drive resolution of customer bugs across ticketing systems; coordinate with internal Application Engineers and Product teams; and communicate workarounds, fixes, and release timelines to customers.
  • Guide customers through NVIDIA platform firmware, including network interface card firmware, GPU firmware, BMC/BIOS, FPGA, and ERoT, as well as GPU Operator, Network Operator, DOCA/OFED, DCGM, MFT tools, and NVQual qualification workflows.
  • Coordinate across customers, NVIDIA engineering teams, third-party vendors, and internal account and program management teams; lead NDA processes and NVOnline access for partner engineers.
  • Work with the Aerial SDK Product SA and headquarters telecom strategy team to support partner Aerial integration, GPU-accelerated L1/L2 RAN, and platform deployment.
  • Support additional OEM partners on HGX, IGX, and MGX reference designs by answering technical questions on power architecture, thermal management, PCIe topology, partner enablement documentation, and design proposal reviews.
  • Travel occasionally to partner sites.

Desired Qualifications

  • Experience in the telecom, RAN, or 5G ecosystem, including O-RAN, Aerial, or AI-RAN concepts.
  • Familiarity with Red Hat OpenShift Container Platform.
  • Previous partner or customer support experience.
  • Background in BMC/Redfish, IPMI, or platform management firmware.
  • Experience with Mellanox/NVIDIA ConnectX or BlueField.
  • Deep GPU expertise.

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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