Role at a glance
- Salary
- Not Disclosed
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Master's
Spotted an issue?
We’ll check it against the original posting.
About the role
Original posting provided by NVIDIA
We are looking for a highly motivated Field Applications Engineer to support our customers using NVIDIA's Jetson platform for embedded industrial use-cases! This role is for an individual who has shown leadership in supporting customers and is an experienced specialist in embedded systems, software, and application development. Your primary responsibility will be to partner with sales and support customer technical engagement, working cross functionally with our internal teams as well as our partner ecosystem. Excellent communication and interpersonal skills and a capacity to work independently are key success factors for this role.
What you’ll be doing:
Work with customers to develop a keen understanding of their system architectures, challenges, objectives, and technical needs – and help them 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 software, supporting our sales partners and customers
Work closely with the NVIDIA application and engineering teams to ensure customers are successful in developing their embedded systems, answer their questions directly, via email, and on 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
What we need to see:
BS or MS in Electrical Engineering or Computer Science or equivalent experience
2+ 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
Strong analytical and problem-solving skills
Strong written and oral communications skills with the ability to effectively collaborate with management and engineering
Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects
Ways to stand out from the crowd:
NVIDIA GPU development experience
gStreamer, ROS, and/or OpenCV experience
Deep Learning and/or AI experience
Functional safety experience
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.