REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Field Applications Engineer, Embedded Systems - NALA
XX
Field Applications Engineer, Embedded Systems - NALADormont Manufacturing Company • California, Maryland, United States
Jetzt Bewerben
XX

Field Applications Engineer, Embedded Systems - NALA

Dormont Manufacturing Company
  • US
    California, Maryland, United States
  • US
    California, Maryland, United States
Jetzt Bewerben

Über

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 endeavour 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 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. 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. Capable of working in a rapidly changing environment without losing focus. Strong analytical and problem‑solving skills. Strong written and oral communication 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. 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’ll also be eligible for equity and benefits. Applications for this job will be accepted at least until April 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse 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.
#J-18808-Ljbffr
  • California, Maryland, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.

Jobbörse: 10'000+ Jobs in deiner Nähe – vor Ort, hybrid oder remote