Senior Field Application Engineer - Automotive MCU
Description
Role Summary
As an Automotive Field Application Engineer, you will provide comprehensive customer-facing technical support for Automotive MCU–based applications across multiple automotive domains. This role requires strong execution capability, system-level understanding, and the flexibility to support both key accounts and mass‑market customers .
You will work closely with customer engineering teams to ensure smooth project execution, timely issue resolution, and effective adoption of Automotive MCU platforms across diverse applications such as Body/Zone Controllers, and Infotainment (Radio/Audio) .
Responsibilities
Customer Technical Support
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Provide on-site and remote technical support for Automotive MCU–based customer projects.
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Act as the primary technical interface for assigned customers during development, validation, and early production phases.
Application-Level Support
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Support AMCU-based applications including:
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Body and Zone Controllers (AUTOSAR-based or non‑AUTOSAR)
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Radio, Audio, and selected Infotainment systems
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Assist customers with MCU bring-up, peripheral configuration, and system integration.
Debugging & Issue Resolution
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Analyze and resolve customer issues across hardware, software, and system levels .
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Support embedded software debugging, including drivers, RTOS integration, and AUTOSAR CP–based systems.
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Coordinate with internal AE, R&D, and product teams to ensure efficient issue escalation and closure.
Security & Safety & AI Awareness Support
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Support customers in understanding and applying Automotive Cybersecurity concepts , including secure boot, secure communication, and basic key management usage.
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Assist customers in debugging security-related integration issues on MCU-based platforms.
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Demonstrate awareness of Functional Safety (ISO 26262) concepts and their impact on system usage and software integration.
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GenAI and Edge AI experience is strong plus, like multiple Agent using experience, model compiling/tuning/quantization experience on Edge AI.
Project & Account Support
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Support both key accounts with high engagement demands and mass‑market customers with parallel project requirements .
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Participate in customer design reviews, technical discussions, and on-site debug sessions.
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Maintain structured follow-up, documentation, and communication for customer issues and project status.
Customer Enablement & NPI Support
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Support customer adoption of reference designs, demos, and recommended usage models.
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Deliver technical workshops and hands-on guidance to customer engineering teams.
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Support customers during NPI phases from an application and usage perspective.
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Collect customer feedback and relay it effectively to internal teams.
Requirements
Experience & Background
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3–5 years of experience in automotive electronics, embedded systems, or customer-facing technical roles (FAE, Application Engineer, Technical Support).
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Practical experience supporting customer projects rather than pure R&D ownership.
Technical Skills
Automotive MCU
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Solid experience with Automotive MCU platforms (AMCU).
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Familiarity with MCU peripherals such as ADC, timers, PWM, communication interfaces, DMA, and basic system resources.
Embedded Software
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Experience working with embedded software stacks, BSPs, and peripheral drivers.
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Familiarity with AUTOSAR Classic (CP) concepts and integration is a strong plus.
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Comfortable using embedded debugging tools (JTAG, trace, logging, memory analysis).
Automotive Application Knowledge
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Practical understanding of one or more of the following domains:
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Body / Zone Controller architectures
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Radio / Audio / Infotainment systems
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System-level understanding of ECUs, including HW/SW interaction and integration constraints.
Security & Safety & AI Awareness
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Basic understanding of Automotive Cybersecurity concepts , such as:
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Secure boot and firmware authentication
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Secure communication principles
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Key and certificate usage at system level
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Awareness of Functional Safety (ISO 26262) requirements and their influence on system design and software usage.
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GenAI and Edge AI experience is strong plus, like multiple Agent using experience, model compiling/tuning/quantization experience on Edge AI.
Soft Skills & Working Style
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Strong customer-oriented mindset with effective communication skills.
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Ability to handle multiple customer issues and projects in parallel.
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Comfortable working independently at customer sites when required.
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Willingness to travel domestically and internationally.
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English proficiency for daily technical communication (meetings, emails, documentation).
Preferred Qualifications (Plus)
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Experience supporting automotive OEMs or Tier‑1 customers.
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Exposure to Automotive Ethernet switches or time-sensitive networking concepts.
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Experience with system validation or field issue troubleshooting.
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GenAI and Edge AI experience is strong plus, like multiple Agent using experience, model compiling/tuning/quantization experience on Edge AI.
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