Senior Field Application Engineer - Automotive MCU

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

- Provide on-site and remote technical support for Automotive MCU–based customer projects.
- Act as the primary technical interface for assigned customers during development, validation, and early production phases.

Application-Level Support

- Support AMCU-based applications including:

Body and Zone Controllers (AUTOSAR-based or non‑AUTOSAR)
- Radio, Audio, and selected Infotainment systems

- Assist customers with MCU bring-up, peripheral configuration, and system integration.

Debugging & Issue Resolution

- Analyze and resolve customer issues across hardware, software, and system levels .
- Support embedded software debugging, including drivers, RTOS integration, and AUTOSAR CP–based systems.
- Coordinate with internal AE, R&D, and product teams to ensure efficient issue escalation and closure.

Security & Safety & AI Awareness Support

- Support customers in understanding and applying Automotive Cybersecurity concepts , including secure boot, secure communication, and basic key management usage.
- Assist customers in debugging security-related integration issues on MCU-based platforms.
- Demonstrate awareness of Functional Safety (ISO 26262) concepts and their impact on system usage and software integration.
- GenAI and Edge AI experience is strong plus, like multiple Agent using experience, model compiling/tuning/quantization experience on Edge AI.

Project & Account Support

- Support both key accounts with high engagement demands and mass‑market customers with parallel project requirements .
- Participate in customer design reviews, technical discussions, and on-site debug sessions.
- Maintain structured follow-up, documentation, and communication for customer issues and project status.

Customer Enablement & NPI Support

- Support customer adoption of reference designs, demos, and recommended usage models.
- Deliver technical workshops and hands-on guidance to customer engineering teams.
- Support customers during NPI phases from an application and usage perspective.
- Collect customer feedback and relay it effectively to internal teams.

Requirements:

Experience & Background

- 3–5 years of experience in automotive electronics, embedded systems, or customer-facing technical roles (FAE, Application Engineer, Technical Support).
- Practical experience supporting customer projects rather than pure R&D ownership.

Technical Skills

Automotive MCU

- Solid experience with Automotive MCU platforms (AMCU).
- Familiarity with MCU peripherals such as ADC, timers, PWM, communication interfaces, DMA, and basic system resources.

Embedded Software

- Experience working with embedded software stacks, BSPs, and peripheral drivers.
- Familiarity with AUTOSAR Classic (CP) concepts and integration is a strong plus.
- Comfortable using embedded debugging tools (JTAG, trace, logging, memory analysis).

Automotive Application Knowledge

- Practical understanding of one or more of the following domains:

Body / Zone Controller architectures
- Radio / Audio / Infotainment systems

- System-level understanding of ECUs, including HW/SW interaction and integration constraints.

Security & Safety & AI Awareness

- Basic understanding of Automotive Cybersecurity concepts , such as:

Secure boot and firmware authentication
- Secure communication principles
- Key and certificate usage at system level

- Awareness of Functional Safety (ISO 26262) requirements and their influence on system design and software usage.
- 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

- Strong customer-oriented mindset with effective communication skills.
- Ability to handle multiple customer issues and projects in parallel.
- Comfortable working independently at customer sites when required.
- Willingness to travel domestically and internationally.
- English proficiency for daily technical communication (meetings, emails, documentation).

Preferred Qualifications (Plus):

- Experience supporting automotive OEMs or Tier‑1 customers.
- Exposure to Automotive Ethernet switches or time-sensitive networking concepts.
- Experience with system validation or field issue troubleshooting.
- 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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