Senior Software Engineer, XR Embedded, Platforms and Devices

Responsibilities

• 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.
• - 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:

Preferred qualifications:

Qualifications

• 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.