Senior Software Engineer, XR Embedded, Platforms and Devices

• 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.

• 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.