Field Applications Engineer, Embedded Systems - NALA
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. Your primary responsibilities will be to partner with sales and support the customer technical engagement for NVIDIA’s Jetson platform. You will emphasize on your technical expertise to provide support for our embedded GPU AI products. Excellent communication and interpersonal skills and the ability to work independently are key success factors.
What you’ll be doing:
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
What we need to see:
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
Ways to stand out from the crowd:
NVIDIA GPU development experience
Experience with gStreamer, ROS and/or OpenCV
Deep Learning and/or AI experience
You will also be eligible for equity and benefits.
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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