Staff Embedded Software Engineer (C/C++), Machine Learning

Join Qualcomm's Low Power AI solution team as a Staff Embedded Software Engineer, where you'll play a crucial role in deploying AI models on Qualcomm's low power AI accelerator. This position combines embedded systems expertise with machine learning, focusing on optimizing AI model deployment through graph transformation, scheduling, memory planning, and quantization. You'll work with cutting-edge technology, mapping high-level machine learning operators to low-level hardware instructions.

The role requires a strong background in C/C++ programming, embedded systems, and machine learning frameworks. You'll be responsible for developing and optimizing software solutions that enable AI models to run efficiently on hardware, working with various ML frameworks like TensorFlow, PyTorch, and Caffe. The position offers an opportunity to work with advanced hardware architectures and contribute to the future of low-power AI solutions.

As a Staff Engineer, you'll collaborate with cross-functional teams, interact with senior leadership, and have the opportunity to influence the direction of AI hardware and software co-design. The role combines technical depth in embedded systems with the excitement of working on cutting-edge AI solutions, making it perfect for someone who wants to push the boundaries of what's possible in low-power AI computing.

Working at Qualcomm means joining a global leader in wireless technology and AI solutions, with opportunities to work on projects that impact millions of devices worldwide. The position offers the chance to work with state-of-the-art technology while solving complex challenges in the intersection of embedded systems and artificial intelligence.