Qualcomm Atheros is seeking a Staff Software Engineer to join their AI team, focusing on developing and optimizing AI/ML models for edge devices. This role combines cutting-edge AI technology with practical applications in wireless and networking systems. The position offers an opportunity to work with state-of-the-art AI/ML frameworks and edge computing platforms while solving complex challenges in model optimization and deployment.
The ideal candidate will bring 5-10+ years of expertise in AI/ML, with strong skills in model development, particularly in Convolutional Neural Networks (CNN), quantization, and debugging. They will be responsible for implementing AI solutions that push the boundaries of edge device capabilities while maintaining high performance and efficiency.
The role offers competitive compensation ($151,900 - $227,900) and comprehensive benefits, including health, dental, and vision insurance, along with professional development opportunities. Working at Qualcomm means joining a team of leading technology experts in a collaborative environment that values innovation and continuous learning.
Key technical aspects include working with TensorFlow, PyTorch, and other AI frameworks, while managing CPU profiling and DDR optimization. The position requires strong problem-solving abilities and excellent communication skills to work effectively with cross-functional teams.
This is an excellent opportunity for an experienced AI engineer looking to make a significant impact in edge computing and AI applications while working for a global leader in wireless technology. The role combines technical challenges with the opportunity to shape the future of AI on edge devices.