Field Application Engineer engaging multi - site customers to drive strategic growth through technical support and alignment of customer needs with internal capabilities. Collaborating with internal teams to promote AT&S solutions.
About the role
- Senior Field Applications Engineer at NVIDIA contributing to GPU product implementations. Supporting sales and customer technical relationships in AI computing and deep learning domains.
Responsibilities
- Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure build 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/ODM AI market to successfully implement NVIDIA's solutions
- Provide onsite support to solve hardware and software problems, with a focus on deep learning training and 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 builds
- 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
Requirements
- BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience)
- 4+ years of work-related experience in the high-tech electronics industry, particularly in system development 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
- 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.
Benefits
- equity
- benefits
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