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59 минут назад

Field Applications Engineer (Embedded AI)

147 900 - 203 400$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Field Applications Engineer (Embedded AI): Providing premium technical support for MPU and DNPU products to drive design wins in automotive, industrial, and medical markets with an accent on system architecture and Edge AI deployment. Focus on developing embedded firmware, optimizing SoC hardware interfaces, and synthesizing customer insights into product roadmaps.

Location: San Jose, USA. Willing to travel up to 30% within continental US

Salary: $147,900 – $203,400 annually

Company

hirify.global is a global leader in secure edge intelligence and automotive/industrial semiconductors, transforming intelligent edge vision into market impact.

What you will do

  • Provide premium technical support for MPU and discrete AI accelerator (DNPU) products to assigned customers.
  • Drive design wins by leading proof of concepts, solution designs, and technical demonstrations.
  • Act as a system software architect to ensure the technical team understands the software value proposition for system proposals.
  • Synthesize customer and competitive insights to improve product definitions and roadmaps.
  • Qualify sales opportunities based on technical requirements and establish NXP's value proposition against competition.
  • Educate Field Sales Engineers and distributors on new technologies and product features.

Requirements

  • Bachelor’s or Master’s Degree in Electrical Engineering, Computer Engineering or equivalent.
  • Minimum 5 years of experience in embedded systems development or applications support.
  • Minimum 5 years of Field Application Engineering experience in the semiconductor industry.
  • Proficiency in C/C++ with a record of developing embedded firmware.
  • Deep knowledge of ARM Cortex A and Cortex M architectures, RTOS, and Embedded Linux (kernel, user-space, and uboot).
  • Demonstrated expertise with SoC hardware interfaces (Ethernet, PCIe, MIPI, LP DDR5, USB).

Nice to have

  • Knowledge of Edge AI deployment, including familiarity with Tensorflow Lite and ONNX.
  • Hands-on knowledge of graphics and video subsystems and related software drivers.

Culture & Benefits

  • Competitive benefits including health, dental, and vision insurance.
  • 401(k) retirement plan and paid leave.
  • High-performance, high-ownership environment focusing on urgency and results.
  • Opportunity to work with customers building next-generation AI-powered devices.

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