Robotics MPU & DNPU Field Applications Engineer

Location:

Candidates located in or near San Jose, Austin, Detroit, or the Boston metro area are encouraged to apply. We also welcome home‑based candidates from major East Coast metropolitan areas with convenient access to international airports.

We are seeking a highly motivated, experienced engineer to join our FAE team supporting the rapidly growing robotics market — humanoids, drones, and Autonomous Mobile Robots (AMRs) platforms. You will help our customers architect and deploy NXP application and AI processors as core to next‑generation robotic systems — powering companion computers, central compute, vision and perception pipelines, AI inference, sensor fusion, and motion planning.

• 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.
• Own the end‑to‑end robotics compute architecture for customer engagements, spanning perception, localization, planning, and control integration.
• Guide customers in deploying complete robotics software stacks on NXP platforms, enabling rapid system bring‑up and deployment.
• 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.
• Architect heterogeneous compute solutions that combine Linux on application cores with real‑time tasks on companion microcontroller cores, including inter‑core communication, resource isolation, and end‑to‑end latency budgets.
• Design support and lab troubleshooting through schematic and PCB 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.
• Deliver on‑site and remote proof‑of‑concept builds using NXP evaluation kits, robotics reference designs, and BSP / SDK enablement, demonstrating end‑to‑end solutions for AMR, drone, and humanoid use cases.
• Lead technical training and project coordination across customers, business lines, and partners — running webinars, workshops, and deep‑dives while managing timelines and deliverables.

• Bachelor's or Master's 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: boot loader (u‑boot), kernel and device drivers, device tree, Yocto / build system, and user‑space integration.
• Proficient in C/C++ for embedded development, plus 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.
• Experience optimizing PCB design for high‑speed application‑processor interfaces (impedance control, length matching, EMC/EMI, and power integrity).
• Strong troubleshooting skills with schematic review, signal analysis, and lab tools.
• Excellent verbal and written communication for both technical and non‑technical stakeholders.
• Demonstrated leadership and ability to operate autonomously.
• Willing to travel, primarily within North America.

• 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.
• Working knowledge of computer‑vision and sensor‑fusion pipelines: MIPI‑CSI camera bring‑up, ISP tuning, multi‑camera…