Senior Field Applications Engineer, AI Infrastructure Build - Execution

NVIDIA Corporation; Texas; Hybrid; USD 132,000 - 253,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a seasoned field deployment engineer to support AI Factory implementations and rapid issue resolution at partner sites and data centers across the United States. You will act as a senior technical resource across racks, GPUs, networking, storage, firmware, Linux, and deployment tooling, driving triage and root-cause efforts.

The role emphasizes hands-on troubleshooting, data-driven diagnostics, and collaboration with OEM/ODM teams.

Qualifications

• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or related field, or equivalent experience.
• 5+ years of data center deployment, rack integration, technical field support, manufacturing support, partner services, infrastructure bring-up, or large-scale systems troubleshooting.
• Proven ability to troubleshoot intricate infrastructure problems related to servers, GPUs, switches, storage, firmware/BMC, Linux, cabling, optics, power, thermal, or deployment tooling.
• Experience working 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.
• Willingness to travel up to 50% to support field engagements and deployments.

Responsibilities

• Deliver direct field assistance for AI Factory build implementations and deployment bring-up.
• Serve as a senior technical resource for urgent field issues across rack, server, GPU, networking, storage, firmware/BMC, Linux, cabling, power, and deployment tooling.
• Drive structured triage for deployment blockers, including failure reproduction, data collection, domain isolation, and owner alignment.
• Validate diagnostic flows, improve test practices, and document repeatable troubleshooting methods.
• Capture First Time Deployment lessons learned and update guidelines and playbooks for reuse across OEM engagements.
• Provide concise leadership access to issue status, risk, blockers, decisions, and recovery plans during active deployments.

Skills

Field deployment experience

Troubleshooting

Technical communication

Onsite operation

Education

Bachelor's or Master's in Electrical Engineering / Computer Engineering / Computer Science / Systems Engineering or related

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.