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NVIDIA

Designs the chips and software that power AI

Field Applications Engineer - Embedded Systems

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeUnited StatesIn-person

About the Job

Requirements

  • A BS or MS 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 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 and the ability to collaborate effectively with management and engineering.
  • Strong time-management and organizational skills to coordinate multiple initiatives, priorities, and implementations of new technologies and products in complex projects.

Responsibilities

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

Desired Qualifications

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

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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