Senior Field Application Engineer, OEM

Nvidia

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Round Rock, TX
Salary
$132,000–$207,000 / yr
Posted
5 days ago
Freshness
Confirmed live today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $170k
$122k most similar roles pay here $223k

This role pays less than 57% of similar roles. Most pay $147,493–$213,531 — the shaded band above. At the midpoint, this role pays about $170k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 867 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 849 roles with salary data.

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At a glance

TL;DR · Senior Field Application Engineer, OEM

As a Senior Field Application Engineer - OEM, you will serve as the technical lead for sustaining engineering regarding data center products used by OEM customers. You will manage complex issues from initial triage and containment through root-cause analysis and corrective action. Your daily responsibilities include performing system- and board-level failure analysis to isolate hardware, firmware, software, thermal, power, and integration problems while facilitating the complete RMA process. You will collaborate with partners to resolve critical issues and provide on-site technical support. The role requires expertise in server architecture, including CPUs, GPUs, memory, storage, and high-speed interconnects. You will utilize tools such as PCIe, BMC/IPMI, Redfish, BIOS/UEFI, Linux, and Python or shell scripting. This role addresses the challenge of ensuring product quality and serviceability for complex GPU-accelerated data center systems.

What you'll do

  • Serve as the technical lead for sustaining engineering regarding NVIDIA data center products used by OEM customers.
  • Manage complex issues from initial triage and containment through root-cause analysis and corrective action.
  • Perform system- and board-level failure analysis to isolate hardware, firmware, software, thermal, and power problems.
  • Facilitate the complete RMA process including data collection, material tracking, and communication of findings.
  • Reproduce field failures in laboratory environments to identify trends and drive improvements in product quality.
  • Provide on-site technical support and deliver failure-analysis reports and troubleshooting procedures to stakeholders.
  • Coordinate with manufacturing partners and internal teams to resolve critical hardware and integration issues.

What we're looking for

  • BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline (or equivalent experience).
  • 5+ years of relevant experience in Field Application Engineering, sustaining engineering, failure analysis, systems engineering, or product engineering.
  • Hands-on experience debugging complex server or computing platforms at both the system and board levels.
  • Demonstrated experience managing field failures or RMA cases through root-cause analysis and corrective-action closure using methods like 8D, FRACAS, or fault-tree analysis.
  • Strong understanding of server architecture including CPUs, GPUs, memory, storage, power delivery, cooling, and high-speed interconnects.
  • Knowledge of PCIe and experience troubleshooting BMC/IPMI, Redfish, BIOS/UEFI, Linux, drivers, firmware, system logs, and hardware telemetry.
  • Experience with hardware bring-up, board validation, system qualification, and L1–L10 server integration and manufacturing test stages.
  • Ability to interpret schematics, block diagrams, diagnostic data, manufacturing test results, and thermal or electrical measurements.
  • Direct experience supporting NVIDIA HGX, DGX, MGX platforms, or comparable GPU-accelerated systems (preferred).
  • Experience owning sustaining engineering, failure analysis, or RMA programs for an OEM, ODM, cloud service provider, or hyperscale customer (preferred).
  • Familiarity with physical failure-analysis techniques, reliability engineering, statistical analysis, and manufacturing or field-quality trend analysis (preferred).
  • Experience with ARM-based systems, NVIDIA GPUs, system firmware, and diagnostic automation using Python or shell scripting (preferred).

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