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Field Applications Engineer, Embedded Systems - NALA

NVIDIA•Santa Clara, CA
•$108,000 - $207,000

About The Position

NVIDIA is seeking a highly motivated Field Applications Engineer to support customers using the Jetson platform for embedded industrial use cases. The role calls for an experienced specialist in embedded systems, software, and application development who can lead customer support and work independently. The primary responsibility is to partner with sales and support customer technical engagement, collaborating with NVIDIA teams and the partner ecosystem. Strong communication and interpersonal skills are important to success. The engineer will understand customers’ system architectures, challenges, objectives, and technical needs, then help define solutions that address those needs. They will advise customers on the Jetson SDK and edge AI inference software, help customers develop embedded systems, investigate and reproduce issues, and work with engineering and application teams to identify root causes and answer technical questions. The role also includes training ecosystem and channel partners in technical and sales topics and establishing effective relationships with internal teams. The expected base salary is $108,000–$178,250 for Level 2 and $132,000–$207,000 for Level 3. The employee will also be eligible for equity and benefits. Applications will be accepted at least until November 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to an inclusive work environment.

Requirements

  • Bachelor’s or master’s degree in Electrical Engineering or Computer Science, or equivalent experience.
  • At least 2 years of work-related experience in a high-tech electronics industry, in an embedded design role or technical customer support role.
  • Expertise in Linux, embedded software, and embedded applications.
  • Coding experience in C, C++, and Python.
  • Strong analytical and problem-solving skills.
  • Strong written and oral communication skills, with the ability to collaborate effectively with management and engineering.
  • Strong time-management and organizational skills for coordinating multiple initiatives, priorities, and implementations of new technology and products in complex projects.

Nice To Haves

  • NVIDIA GPU development experience.
  • Experience with gStreamer, ROS, and/or OpenCV.
  • Deep Learning and/or AI experience.
  • Functional safety experience.

Responsibilities

  • Work with customers to understand their system architectures, challenges, objectives, and technical needs, and help define valued solutions.
  • Advise customers on the Jetson SDK and edge AI inference software, while supporting sales partners and customers.
  • Collaborate with NVIDIA application and engineering teams to help customers develop embedded systems and answer their questions directly, by email, and through the NVIDIA developer forum.
  • Work with customers to reproduce issues and help identify root causes.
  • Provide technical and sales training to ecosystem and channel partners.
  • Establish trusted relationships and communication channels with internal teams.

Benefits

  • Equity
  • Benefits (not otherwise specified)

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