Senior Field Application Engineer – MPU, DNPU, Robotics, Drones

Stellenbeschreibung:

• Provide technical leadership to sales teams and customers covering edge-compute architecture, processor selection, bring-up, and software stack integration for NXP MPU and DNPU processors targeting robotics platforms.
• Partner with customers on the design of companion computers, central compute, vision/perception subsystems, and HMI nodes — from silicon selection through Linux board bring-up, kernel/driver enablement, and system performance tuning.
• Design support and lab troubleshooting through schematic reviews, bench bring-up, debugging, and root-cause analysis across hardware, kernel, drivers, and middleware.
• Enable customer AI, vision, and sensor-fusion workloads on NXP processors and integrated NPUs, helping customers move models from training frameworks to optimized on-device inference for perception, navigation, and HMI use cases.

Requirements

  • Master’s degree in Electrical Engineering, Computer Engineering or Computer Science
  • 10+ years in embedded systems development or applications support of MPU / SoC-based platforms running embedded Linux, with demonstrated technical leadership.
  • Strong embedded Linux experience across the full stack: bootloader (u-boot), kernel and device drivers, device tree, Yocto / build system, and user-space integration.
  • Working knowledge of Python or scripting for tooling and automation.
  • Hands-on experience with ARM Cortex-A class application processors and heterogeneous compute architectures pairing application cores with real-time microcontroller cores.
  • Working knowledge of high-speed application-processor interfaces and how to design around them: LPDDR, PCIe, USB 3.x, MIPI-CSI / MIPI-DSI, Gigabit / Multi-Gigabit Ethernet, SDIO / eMMC, and QSPI.
  • Excellent verbal and written communication for both technical and non-technical stakeholders.
  • Willingness to travel
  • Fluent English required.

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Stelleninformationen

  • Veröffentlichungsdatum:

    18 Aug 2026
  • Standort:

    München
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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