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.

The ideal candidate will 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.

Responsibilities:

• Be a technical specialist on GPU and networking products
• 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
• 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 technical teams, account teams, program 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
• 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
• 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.