Automotive Microcontrollers Field Application Engineer (Automotive)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Automotive Microcontrollers Field Application Engineer (Embedded): Supporting automotive customers in implementing NXP system solutions with an accent on microcontroller architecture and system-level integration. Focus on troubleshooting complex hardware/software issues, guiding design-in processes, and translating customer requirements into product specifications.
Location: Munich, Germany
Company
is a global leader in secure connectivity for embedded and secure devices, edge intelligence, and automotive systems.
What you will do
- Act as the primary technical interface for customer engineering teams to promote NXP Automotive system solutions.
- Support the entire project lifecycle from design-in to production, including board design reviews and product configuration.
- Collaborate with internal engineering teams to resolve complex technical issues for customers.
- Gather and communicate customer intelligence on end-product plans and silicon requirements to influence new product definitions.
- Develop technical collateral such as application notes and engineering bulletins.
- Represent the company at technical conferences and industry exhibitions.
Requirements
- 5+ years of experience in a technical customer-facing (FAE/AE) or HW/SW system development role within the automotive industry.
- Strong knowledge of embedded systems, microcontrollers, and embedded software.
- Proven experience in troubleshooting complex board-level issues using JTAG debuggers and lab equipment.
- Ability to present complex technical subjects to professional audiences.
- English and German: Excellent oral and written communication skills are essential.
- Location: Must be based in Munich, Germany.
Culture & Benefits
- High-performance and high-ownership work environment.
- Opportunity to work at the intersection of customer ambition and cutting-edge semiconductor capability.
- Collaboration within a global sales organization focused on real-world AI and secure edge intelligence.
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