Principal Engineer for Edge AI Software_7593
Infineon Technologies5 months ago
Beijing, ChinaStaff+
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 firmware, hardware, and algorithm engineers on system integration.
- Troubleshoot deployment issues involving timing, memory allocation, data flow, and runtime behavior.
- Support maintainable deployment processes through version control, reproducibility, and traceability.
- Evaluate and apply tools and frameworks for model conversion, quantization, and on-device inference.
Requirements
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Embedded Systems, or a related field.
- Strong C/C++ programming skills for embedded software development.
- Solid understanding of RTOS concepts, task scheduling, interrupts, DMA, synchronization, and real-time constraints.
- Experience deploying AI/ML models to edge devices using TensorFlow Lite Micro, ExecuTorch, CMSIS-NN, or similar toolchains.
- Understanding of model quantization, memory optimization, and performance tuning on constrained hardware.
- Familiarity with sensor or signal-processing workflows involving time-series data such as vibration, audio, current, or power signals.
- Strong debugging and problem-solving skills across software, model, and hardware integration layers.
- Ability to support the complete deployment lifecycle from prototype through production.
- Experience with MCU-based AI acceleration or related edge-inference platforms is preferred.
- Familiarity with FreeRTOS, RT-Thread, or similar embedded operating systems is preferred.
- Experience in IoT, industrial, or consumer-electronics applications is preferred.
- Knowledge of model lifecycle management, firmware release processes, and production validation is preferred.
- Experience using Python-based ML tools for model preparation, evaluation, and conversion is preferred.
Categories
About Infineon Technologies
Infineon Technologies designs and manufactures semiconductors for automotive, industrial, and IoT applications, including power devices, microcontrollers, sensors, and security ICs. The Germany-based public company, spun out of Siemens in 1999 and headquartered in Neubiberg near Munich, sells chips and reference solutions to OEMs and device makers worldwide. It trades on the Frankfurt Stock Exchange (ETR: IFX) and expanded its portfolio with the 2020 acquisition of Cypress Semiconductor.