Principal Engineer for Edge AI Software

Responsibilities

• Design and deploy AI/ML models on embedded and edge devices such as MCUs and AI-enabled SoCs
• Integrate AI inference pipelines into embedded software stacks and real-time operating system environments
• Optimize models and runtime performance for latency, memory usage, power efficiency, and reliability
• Develop and maintain data processing pipelines for feature extraction, buffering, and synchronous inference
• Collaborate with cross-functional teams including firmware, hardware, and algorithm engineers
• Troubleshoot deployment issues related to timing, memory allocation, data flow, and runtime behavior
• Evaluate and apply tools for model conversion, quantization, and on-device inference

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
• Strong programming skills in C/C++ for embedded software development
• Solid understanding of RTOS concepts, including task scheduling, interrupts, DMA, and synchronization
• Experience deploying AI/ML models to edge devices using frameworks like TensorFlow Lite Micro, ExecuTorch, or CMSIS-NN
• Knowledge of model quantization, memory optimization, and performance tuning on constrained hardware
• Familiarity with signal processing workflows for time-series data (e.g., vibration, audio, or power signals)
• Strong debugging and problem-solving skills across software, model, and hardware layers

Preferred Qualifications

• Experience with MCU-based AI acceleration or related edge inference platforms
• Familiarity with Free RTOS, RT-Thread, or similar embedded operating systems
• Experience in IoT, industrial, or consumer electronics applications
• Knowledge of model lifecycle management and firmware release processes
• Proficiency with Python-based ML tools for model preparation and evaluation

About the Company

Infineon is a global leader in semiconductor solutions in power systems and IoT. We enable game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT, driving innovation and customer success while empowering our people to reach ambitious goals.