Field Applications Engineer, Embedded Systems - NALA
Nvidia
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What applications roles keep asking for: Python (19%) — counted across their open postings here.
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Counted across 14 company job boards, updated as roles open and close.
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- How would you design an API for a feature you have worked on?
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Practise the Field Applications Engineer, Embedded Systems - NALA at Nvidia interview free →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 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 2, and 132,000 USD - 207,000 USD for Level 3. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 16, 2026. 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.
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Listed on workday · posted 2026-10-12. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.