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23 часа назад

Automotive Systems & Applications Engineer (Embedded)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Automotive Systems & Applications Engineer (Embedded): Developing and deploying innovative automotive solutions for software-defined vehicles with an accent on embedded software, hardware, and system architecture. Focus on creating proof-of-concept systems, optimizing performance for zonal compute, and integrating AI-assisted engineering workflows.

Location: Onsite in Austin (Oakhill, Office)

Company

World leader in secure connectivity solutions for embedded applications, specializing in automotive, industrial, and IoT markets.

What you will do

  • Enable customer transitions from reference designs to production applications for NXP automotive components.
  • Develop application-specific software, firmware, and hardware using microcontrollers and processors.
  • Build and test proof-of-concept systems and evaluation kits to demonstrate portfolio capabilities.
  • Provide high-level technical support, including debugging and troubleshooting complex system-level issues.
  • Create technical documentation, application notes, and training materials to facilitate integration.
  • Utilize AI-assisted tools to enhance productivity in embedded development and share best practices.

Requirements

  • Bachelor's or Master's degree in Electrical or Computer Engineering.
  • 5+ years of experience in automotive embedded systems development or applications engineering.
  • Proficiency in embedded C/C++ and strong knowledge of Arm-based MCU/MPU architectures.
  • Strong understanding of communication protocols (PCIe, Ethernet, CAN, LIN, FlexRay) and ISO 26262 safety standards.
  • Expertise in embedded Linux OS and Real-Time Operating Systems (RTOS).
  • Strong oral and written English language skills.

Nice to have

  • Prior experience with NXP's automotive product portfolio (e.g., S32Z/E, S32N, S32G, S32K).
  • Basic understanding of machine learning concepts for edge AI deployments.

Culture & Benefits

  • Access to online and offline learning opportunities for professional skill development.
  • Commitment to sustainability and measurable year-on-year progress.
  • Inclusive work environment with a strong focus on diversity, inclusion, and equality.

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