Senior Field Applications Engineer, AI Infrastructure Build - Execution

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

Benefits offered by this job

Equity and benefits

Job summary

NVIDIA Corporation in Austin, TX, seeks a senior field deployment engineer to deliver direct field assistance for AI Factory deployments, troubleshoot across rack, GPU, networking, Linux, and power, and drive rapid issue resolution.

You will travel up to 50% to partner sites, collect data, reproduce failures, and update playbooks with lessons learned. The role requires clear communication with engineers and leadership in fast-paced environments.

Qualifications

• 5+ years in data center deployment, rack integration, or large-scale systems troubleshooting.
• Experience troubleshooting servers, GPUs, switches, storage, firmware/BMC, Linux, cabling, power, or tooling.
• Experience with partners, customers, OEM/ODM or deployment services in field/production.
• Strong field troubleshooting with debug, data collection, and handoff of critical issues.
• Able to operate onsite in fast-paced deployments and communicate with engineering/leadership.
• Willingness to travel up to 50%.

Responsibilities

• Deliver direct field assistance for AI Factory deployments, bring-up, validation, and triage.
• Act as senior technical resource for urgent field issues across rack, GPU, networking, storage, firmware/BMC, Linux, cabling, power, and tooling domains.
• Deploy to partner or field sites to support rapid response and issue closure.
• Drive structured triage for deployment blockers: reproduction, data collection, owner alignment.
• Improve diagnostic flows and test practices to reduce time to resolution.
• Capture deployment lessons and update guidelines and playbooks.

Skills

Field troubleshooting

Linux proficiency

Scripting & automation

Telemetry & log analysis

Executive communication

Onsite collaboration

Education

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

Tools

Deployment tooling

Diagnostic tools

Linux diagnostics

Job description

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.

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.

Applications for this job will be accepted at least until October 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Learn more about NVIDIA.