Senior Field Applications Engineer - AI Rack-Scale Systems

Nvidia Corporation; Santa Clara (CA); 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 support NVIDIA rack-scale AI systems through partner integration, validation, launch readiness, and production ramp.

This role works closely with internal architecture, engineering, program, account, and partner-facing teams to resolve technical issues, drive readiness, and support successful deployment of NVIDIA accelerated computing platforms through ODM and manufacturing integration ecosystems.

Qualifications

• BS or MS in Engineering, Electrical Engineering, Physics, or CS (or equivalent).
• 5+ years in system design, datacenter deployment, or ODM/partner integration.
• Strong English communication and cross-functional collaboration.
• Experience with rack-scale systems, servers, networking, and Linux workflows.

Responsibilities

• Be a technical specialist on GPU and networking products and support design-in and ramp.
• Establish relationships with partner engineering teams and internal stakeholders.
• Identify customer architectures and key product requirements for CSP/ODM AI markets.
• Provide onsite, with travel as needed, hardware/firmware/software/debug support.
• Lead product progression across design-in, NPI, rack integration and lifecycle transitions.
• Develop technical demos and example system builds.
• Offer technical enablement to internal and partner-facing teams.
• Maintain strong communication for a positive customer experience.

Skills

C/C++

Python

Embedded Linux

Education

BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science

Tools

APIs

Linux-based debug

Job description

NVIDIA is seeking a Senior Field Applications Engineer to support NVIDIA rack-scale AI systems through partner integration, validation, launch readiness, and production ramp.

This role works closely with internal architecture, engineering, program, account, and partner-facing teams to resolve technical issues, drive readiness, and support successful deployment of NVIDIA accelerated computing platforms through ODM and manufacturing integration ecosystems.