Lead customer implementation of advanced automotive systems, focusing on edge AI workloads within centralized and zonal vehicle architectures
Job Summary
Lead customer implementation of advanced automotive systems, focusing on edge AI workloads within centralized and zonal vehicle architectures.
Translate AI workloads into real-world, production-ready automotive solutions by guiding customers on AI workload mapping, performance, and safety tradeoffs.
Provide technical leadership, mentor junior engineers, and contribute to future product and enablement strategies based on customer engagements.
Matching Summary
Lead customer implementation of advanced automotive systems, focusing on edge AI workloads within centralized and zonal vehicle architectures.
Skills & Requirements
Must-have
Automotive embedded systems development
Arm-based MCU/MPU architecture
Automotive architectures and protocols
Embedded C/C++ programming
Embedded Linux OS development
Customer interaction and technical support
Edge AI concepts for embedded systems
Nice-to-have
AI/ML model end-to-end deployment
On-vehicle AI model performance profiling
NXP automotive product portfolio experience
Key Requirements
7+ years of experience
Bachelor's or Master's degree in Electrical Engineering or Computer Engineering
Experience with heterogeneous, multi-core embedded systems
Knowledge of ISO 26262 safety standards
Experience with compilers, emulators, and RTOS
Proficiency with embedded development tools and debuggers