Nvidia Senior Field Application Engineer 

United States, California 

826687030

What you'll be doing:

• 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.

• Provide onsite support to solve hardware and software problems, with a focus on deep learning inference.

• 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 need to see:

• 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 complex projects.

• Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams.

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 OEMs in industrial, military, and ruggedized computing spaces.

• In-depth understanding of CPU architecture.