Nvidia-posted 3 months ago
$160,000 - $253,000/Yr
Full-time • Senior
Santa Clara, CA
Computer and Electronic Product Manufacturing

We are now looking for an experienced Embedded Field Applications Engineer! NVIDIA's deep learning platforms have a major impact to the industry and are referred to as best-in-class for industrial use cases. We are growing the team with passionate and creative people to help our customers in their endeavor for innovation. This Field Applications Engineering role is for an individual who is a proven specialist in embedded systems, embedded software and embedded application development, and who has shown leadership in supporting customers. We are looking for an outstanding FAE with a focus on embedded systems and AI.

  • Engage customers and develop a keen understanding of their system architectures, challenges, objectives, and technical needs - and help to define highly valued solutions that meet these needs
  • Be the trusted advisor for our customers, help them with our Jetson SDK and edge AI inference supporting our sales partners and customers
  • Work closely with the NVIDIA applications and engineering team to ensure customers are successful in developing their embedded systems, answer their questions directly, via email, and on the NVIDIA developer forum
  • Provide technical and sales training to ecosystem and channel partners
  • Establish trusted relationships and communication channels with internal teams
  • BS or MS in Electrical Engineering or Computer Science or equivalent experience
  • 8+ years of work-related experience in a high-tech electronics industry in an embedded design role or technical customer support role
  • Linux, embedded SW and embedded application expertise
  • C, C++, and Python coding
  • Capable of working in a rapidly changing environment without losing focus
  • Strong analytical and problem-solving skills
  • Strong written and oral communications skills in English with the ability to effectively collaborate with management and engineering
  • NVIDIA GPU development experience
  • Experience with gStreamer, ROS and/or OpenCV
  • Deep Learning and/or AI experience
  • Equity
  • Benefits
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