Principal Applications Engineer

The Principal Applications Engineer plays a key technical and customer‑facing role within the Automotive MPU Applications team. This position focuses on guiding customers through complex bring‑up, integration, and problem‑solving activities across both hardware and software domains. The role requires a strong software background, particularly in Linux‑based, multi‑core embedded environments - along with the seniority to influence internal teams and customer engineering groups.

Your Responsibilities

• Act as a primary technical interface to automotive customers, providing high‑quality support across the full product lifecycle.
• Diagnose and resolve complex HW/SW integration issues on multi‑core MPU platforms, including boot, drivers, memory subsystems, interconnects, and performance bottlenecks.
• Support customer platform development through debug sessions, design reviews, architectural guidance, and best‑practice recommendations.
• Drive cross‑functional collaboration with silicon design, validation, systems, and software teams to resolve customer blockers and feed insights back into product development.
• Contribute to application notes, reference designs, training materials, and internal/external documentation.
• Mentor junior engineers and help shape technical direction within the Applications team.

Your profile

• BSc., MSc., or PhD degree in Software Engineering, Computer Systems Engineering or Electrical / Electronics Engineering.
• Deep expertise in embedded Linux (kernel, drivers, Yocto, debugging).
• Strong analytical skills for HW/SW system‑level problem solving.
• Hands‑on experience with multi‑core SoCs, high‑speed interfaces, and low‑level software.
• Excellent communication skills and comfort interacting directly with customers.
• Ability to lead complex issues to closure across distributed teams.

Nice To Have / Additional Value

• Familiarity with automotive software processes CI/CD
• Experience with bootloaders, board bring‑up, performance analysis, or virtualization.
• Knowledge of automotive system architectures (zonal compute, ADAS/IVI).

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