Senior Software Engineer, XR Embedded, Platforms and Devices

Job description

Architect and develop embedded systems for intelligent edge sensing applications. Develop firmware and drivers for embedded systems. Collaborate with ML engineers to implement real-time ML sensing applications. Optimize embedded ML model performance in terms of power, latency, and memory usage. Create prototypes to demonstrate new edge sensing features. Minimum Qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in C/C++. Experience designing and architecting embedded systems including but not limited to MCUs, RTOS, memories, interfaces (e.g., I2C, SPI, UART, MIPI, CSI2, I3C, and BLE), and sensors (imaging and non-imaging). Experience with firmware and driver developments for embedded systems. Experience with low-power AI processor, sensor solutions, and overall system architecture. Preferred Qualifications: Master's degree or PhD in Computer Science, or a related technical field. 5 years of experience with data structures and algorithms. Experience in distributed machine learning, machine learning infrastructure, distributed systems, and machine Learning algorithms at scale. Experience in training and optimizing deep learning models (e.g., convolutional neural networks, recurrent neural networks, or transformers). Experience in C/C++, Python, and embedded software development for embedded systems.