Field Applications Engineer, Embedded Systems

Nvidia

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Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
15 days ago
Freshness
Confirmed live today
Closes
Jan 31, 2027
Nearby
99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $180k
$135k $224k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $147,425–$212,493.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Field Applications Engineer, Embedded Systems

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The Field Applications Engineer, Embedded Systems - NALA will support customers utilizing the NVIDIA Jetson platform for embedded industrial use-cases. This role involves partnering with sales and support teams to engage customers technically while collaborating cross-functionally with internal teams and the partner ecosystem. You will analyze customer system architectures to define solutions, provide guidance on the Jetson SDK and edge AI inference software, and reproduce technical issues to identify root causes. Key responsibilities include providing technical and sales training to channel partners and answering questions on developer forums. Required skills include expertise in Linux, embedded software, and application development using C, C++, and Python. Candidates should possess experience in embedded design or technical support, with potential familiarity in gStreamer, ROS, OpenCV, Deep Learning, and functional safety.

Skills

Embedded Systems Linux C C++ Python Edge AI Deep Learning AI gStreamer ROS OpenCV GPU Development Functional Safety

What you'll do

  • Analyze customer system architectures and technical needs to define high-value solutions.
  • Act as a trusted advisor for the Jetson SDK and edge AI inference software.
  • Provide direct technical support via email and on the NVIDIA developer forum.
  • Reproduce technical issues and identify root causes for customers.
  • Deliver technical and sales training to ecosystem and channel partners.
  • Coordinate with internal engineering teams to ensure customer success in embedded systems development.

What we're looking for

  • BS or MS in Electrical Engineering, Computer Science, or equivalent experience.
  • 2+ years of work-related experience in a high-tech electronics embedded design or technical customer support role.
  • Expertise in Linux, embedded software, and embedded applications.
  • Proficiency in C, C++, and Python coding.
  • Strong analytical, problem-solving, and time-management skills.
  • Excellent written and oral communication skills for collaborating with management and engineering.
  • Experience with NVIDIA GPU development, gStreamer, ROS, or OpenCV.
  • Experience in Deep Learning, AI, or functional safety.

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