Senior Field Applications Engineer - AI Factory Deployments

Salesonaut; Austin (TX); On-site; USD 132,000 - 253,000; Full time

Job summary

NVIDIA is seeking a Senior Field Applications Engineer to provide onsite technical support for AI Factory deployments, working with OEMs and deployment partners to ensure successful rack-scale deployments. The role requires deep field troubleshooting across servers, GPUs, networking, storage, and related tooling, with travel up to 50% to partner sites and customer locations.

Developers and service teams will rely on you to reproduce issues, validate diagnostic flows, and document repeatable

Qualifications

• 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.

Responsibilities

• 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.

Skills

Field deployment

Rack integration

Field support

Troubleshooting

Partner services

Education

Engineering degree (B.S./M.S.)

Tools

Deployment tooling

Diagnostic tooling

Linux

Job description

NVIDIA is seeking a Senior Field Applications Engineer to provide onsite technical support for AI Factory deployments, working with OEMs and deployment partners to ensure successful rack-scale deployments. The role requires deep field troubleshooting across servers, GPUs, networking, storage, and related tooling, with travel up to 50% to partner sites and customer locations.

Developers and service teams will rely on you to reproduce issues, validate diagnostic flows, and document repeatable