Senior Field Application Engineer, ODM Support

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Houston, TX
Salary: $132,000–$207,000 / yr
Posted: 65 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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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 $226k

This role pays less than 52% of similar roles. Most pay $145,450–$216,262 — 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Field Application Engineer, ODM Support

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As a Senior Field Application Engineer, ODM Support, you will join the team to support rack-scale AI systems through partner integration, validation, launch readiness, and production ramp. You will serve as a technical specialist for GPU and networking products, collaborating with internal architecture, engineering, and program teams while nurturing relationships with partner engineering leaders. Your daily responsibilities include debugging hardware, firmware, software, and system integration issues, developing technical solutions like hardware and software demos, and providing technical enablement to various stakeholders. You will navigate the complexities of the CSP/ODM AI market to implement accelerated computing platforms. Required skills include experience in system design, datacenter deployment, and manufacturing support. Technical competencies involve Linux-based debug workflows, BMC, server, rack, power, and thermal systems, with preferred expertise in C/C++, Python, ARM architecture, and Embedded Linux Systems.

Skills

GPU Networking C++ Python Linux Firmware BMC Embedded Linux System Integration Datacenter Infrastructure NPI CPU Architecture ARM Storage

What you'll do

Provide technical expertise on GPU and networking products to support design-in and integration readiness.
Resolve hardware, firmware, software, and networking issues during the production ramp and system integration phases.
Build and maintain technical relationships with partner engineering teams and internal stakeholders.
Identify customer architectures and product requirements within the CSP/ODM AI market to implement NVIDIA solutions.
Lead products through design-in, NPI, rack integration, validation, and lifecycle transitions.
Develop hardware and software demos along with example system builds for technical solutions.
Provide technical enablement and training to internal account, program, and partner-facing teams.

What we're looking for

BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
5+ years of experience in system design, datacenter deployment, manufacturing support, technical customer support, or ODM/partner integration.
Familiarity with server, rack, GPU, networking, storage, power, thermal, cabling, firmware, BMC, and Linux-based debug workflows.
Experience supporting integration, validation, or production ramp of complex datacenter systems.
Proficiency in C/C++ and Python programming.
Knowledge of Embedded Linux Systems, APIs, and similar embedded OS.
Experience with ARM and NVIDIA GPU development.
In-depth understanding of CPU architecture.