Senior Field Application Engineer (FAE) - MPU & DNPU – Robotics/Drones

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What You'll Do

  • 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.
  • Job Qualifications 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 Specialty and bonus skills Hands-on experience enabling AI / ML workloads on edge processors and integrated NPUs, including model conversion and optimization from common training frameworks to on-device inference for robotics perception.
  • Familiarity with robotics middleware and stacks: Rust, ROS / ROS 2, DDS, real-time Linux (PREEMPT_RT), and common SLAM, navigation, and motion-planning frameworks.
  • Working knowledge of platform security: TrustZone, secure boot, OP-TEE, integrated secure enclaves, and secure-element integration for authenticated robotics endpoints.
  • Familiarity with power-management subsystems for application processors (PMIC integration, DVFS, multi-rail / thermal management) and battery-powered system architectures.
  • Working knowledge of functional safety (ISO 26262, IEC 61508 / SIL 2–3) and cybersecurity (ISO 21434, IEC 62443) standards relevant to industrial and automotive edge-compute systems.
  • More information about NXP in Germany... #LI-38ff

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