Senior Field Application Engineer, ODM Support

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 teams to resolve technical issues and support successful deployment of NVIDIA accelerated computing platforms.

Responsibilities:

• Be a technical specialist on GPU and networking products, partnering with teams to support design-in, integration readiness, issue resolution, and successful ramp execution.
• Establish and nurture technical relationships with partner engineering teams, technical leaders, and internal stakeholders.
• Identify customer architectures and key product requirements in the CSP/ODM AI market to implement NVIDIA's solutions.
• Provide onsite technical support 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 teams and partner-facing stakeholders.
• Establish strong communication channels and collaborative relationships with internal teams.

Requirements:

• 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.
• Expertise in analytical and problem-solving abilities.
• Strong time-management and organizational skills for coordinating complex projects.
• Excellent written and oral communication skills in English.
• 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.

Preferred Qualifications:

• 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.

NVIDIA offers equity and benefits to its employees.