NVIDIA is looking for a Senior Field Application Engineer to join our team, playing a vital role in introducing our GPU products to deployments from data centers to edge computing. As a technical specialist, you will directly support sales to secure design wins and lead products through their entire lifecycle.

What You'll Do

Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure design wins.
Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts.
Identify customer architectures and key product requirements in the CSP/OEM AI market to successfully implement NVIDIA's solutions.
Frequent on-site travel to diagnose and resolve hardware and software challenges.
Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution and customer happiness.
Develop technical solutions including hardware & software demos and example system designs.
Offer technical and sales training to direct sales teams and channel partners.
Establish strong communication channels and collaborative relationships with internal teams to ensure a positive customer experience.

What We're Looking For

BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
5+ years of work-related experience in the high-tech electronics industry, particularly in system design or technical customer support roles.
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 sophisticated projects.
Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams.

Nice to Have

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 OEMs in industrial, military, and ruggedized computing spaces.
In-depth understanding of CPU architecture.