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
Requirements
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
Strong embedded Linux experience across the full stack: bootloader (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.