Senior Field Application Engineer, ODM Support

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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are 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.

What you'll be doing:

• Be a technical specialist on GPU and networking products, partnering with account, program, architecture, and engineering teams to support design‑in, integration readiness, issue resolution, and successful ramp execution.
• Actively establish and nurture technical relationships with partner engineering teams, technical leaders, internal stakeholders, and cross‑functional launch teams.
• Identify customer architectures and key product requirements in the CSP/ODM AI market to successfully implement NVIDIA's solutions.
• Provide primarily onsite technical support, with remote and travel‑based support as business needs require, to debug hardware, firmware, software, networking, and system integration issues.
• Lead the product across design‑in, NPI, rack integration, validation, production ramp, sustaining support, and lifecycle transitions.
• Develop technical solutions including hardware & software demos and example system builds.
• Offer technical enablement to internal technical teams, account teams, program teams, and partner‑facing stakeholders.
• Establish strong communication channels and collaborative relationships with internal teams to ensure a positive customer experience.

What we need to see:

• BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
• 5+ years of experience in system design, datacenter deployment, manufacturing support, technical customer support, or ODM/partner integration.
• Capable of excelling in a dynamic, constantly evolving environment.
• Remarkable talent for effectively managing multiple initiatives and priorities.
• Expert analytical and problem‑solving abilities.
• Strong time‑management and organizational skills for coordinating complex projects.
• Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams.
• Familiarity with server, rack, GPU, networking, storage, power, thermal, cabling, firmware, BMC, and Linux‑based debug workflows.
• Experience supporting integration, validation, or production ramp of complex datacenter systems.

Ways to stand out from the crowd:

• Experience with ARM and NVIDIA GPU development.
• Proficiency in C/C++ and Python programming.
• Knowledge of Embedded Linux Systems, APIs, and similar embedded OS.
• Experience working with ODMs, manufacturing partners, datacenter infrastructure teams, or rack‑scale system integration environments.
• In‑depth understanding of CPU architecture.

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.

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.