Senior Field Applications Engineer, AI Infrastructure Build - Execution

NVIDIA Corporation; Houston (TX); On-site; USD 132,000 - 253,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Field Applications Engineer to provide hands-on, on-site technical support for AI Factory deployments across OEM and deployment partners. The role focuses on rapid issue triage, diagnostic flow validation, and repeatable troubleshooting to improve deployment success and time-to-resolution.

The position requires deep data-center and infrastructure troubleshooting across servers, GPUs, networking, storage, firmware/BMC, Linux, cabling, power, and thermal domains, with

Qualifications

• Bachelor's or Master's in Electrical/Computer Engineering, CS, or Systems Engineering or equivalent experience.
• 5+ years in data center deployment, rack integration, field support, or large-scale systems troubleshooting.
• Practical experience with servers, GPUs, switches, storage, firmware/BMC, Linux, cabling, power, thermal, or deployment tooling.
• Experience with partner, customer, OEM/ODM, or deployment services in field or production.
• Strong field troubleshooting, data collection, reproduction quality, and handoff skills.

Responsibilities

• Deliver direct field assistance for AI Factory deployments, including first time deployments and issue triage with OEM/partners.
• Serve as a senior technical resource for urgent field issues across rack, server, GPU, networking, storage, firmware/BMC, Linux, cabling, power, and thermal domains.
• Deploy to partner or field sites to support rapid response and risk reduction.
• Drive structured triage for blockers: reproduction, data collection, domain isolation, and owner alignment.
• Improve diagnostic flows, testing practices, and repeatable troubleshooting methods to shorten resolutions.
• Assist bone-pile review and classify failures to connect field data to root cause actions.
• Capture lessons learned from deployments and update guidelines and playbooks for reuse.
• Provide concise leadership updates on status, risk, blockers, and recovery plans during active deployments.

Skills

Field deployment

Troubleshooting

On-site support

Linux

Networking

GPU systems

Scripting

Telemetry / log analysis

Root-cause analysis

Education

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering

Tools

Diagnostics tooling

Deployment tooling

Job description

NVIDIA is looking for a Senior Field Applications Engineer to assist with AI Factory build implementation and swift assistance alongside OEM and deployment collaborators. This position offers practical, on-site technical support for initial deployments, critical field challenges, preparation shortfalls, and repeated build issues that need focused technical resolution. You will collaborate with NVIDIA engineering, services, architecture, program, account, field, and partner-facing teams to identify issues, shorten resolution times, validate diagnostic flows, and transform field findings into repeatable guidelines. This role suits a senior technical contributor who can work onsite, provide clarity during critical issues, and help establish a more consistent approach for AI Factory build-outs. This is a field-facing role with encouraged onsite support during critical build, bring-up, validation, and blocking issue windows. **What you'll be doing:*** Deliver direct field assistance for AI Factory build implementation, encompassing First Time Deployments, deployment bring-up, validation, and issue triage with OEM and deployment partners.* Serve as a senior technical resource for urgent field issues involving customer concerns across rack, server, GPU, networking, storage, firmware/BMC, Linux, cabling, power, thermal, and deployment-tooling domains.* Deploy to partner or field sites as needed to support targeted rapid response, critical issue closure, and execution risk reduction.* Drive structured triage for deployment blockers, including failure reproduction, data collection, domain isolation, quality of critical issue packets, and owner alignment.* Help reduce time to resolution by validating diagnostic flows, improving test practices, and detailing repeatable troubleshooting methods.* Support bone-pile review and reduction by helping classify failures, identify repeat patterns, and connect field data to root cause and corrective actions.* Capture First Time Deployment lessons learned and update guidelines, readiness criteria, and execution playbooks for reuse across OEM engagements.* Provide concise leadership access to issue status, risk, blockers, decision needs, and recovery plans during active deployments. **What we need to see:*** Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related technical field (or equivalent experience).* 5+ years of experience in data center deployment, rack integration, technical field support, manufacturing support, partner services, infrastructure bring-up, or large-scale systems troubleshooting.* Practical experience troubleshooting intricate infrastructure problems related to servers, GPUs, switches, storage, firmware/BMC, Linux, cabling, optics, power, thermal, or deployment tooling.* Experience working directly with partner, customer, OEM, ODM, system integrator, or deployment services teams in field or production environments.* Strong troubleshooting in the field, including rigorous debug, clean data collection, reproduction quality, and clear handoff of critical issues.* Ability to operate onsite in fast-paced deployment environments while communicating clearly with engineering, field teams, partner teams, and leadership.* Strong written and verbal communication skills, including the ability to summarize complex technical issues into executive-ready status and risk updates.* Travel required (up to 50%) to support field engagements, partner sites, and deployment activities. **Ways to stand out from the crowd:*** Experience with AI Factory, accelerated computing, rack-scale AI infrastructure, large-scale GPU systems, or HPC deployments.* Background with NVIDIA GPUs, NVIDIA networking, InfiniBand, RoCE, high-speed Ethernet, or large-scale cluster bring-up.* Experience crafting or improving diagnostic flows, test procedures, readiness playbooks, blocking issue templates, or best-practice libraries.* Experience with bone-pile analysis, RMA/failure pattern review, root cause feedback loops, or systemic quality improvement.* Strong Linux, scripting, automation, telemetry, or log-analysis skills. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4.You will also be eligible for equity and benefits.