Job Overview

We are seeking a Machine Learning software engineer with embedded experience to develop and deliver novel embedded AI solutions for infotainment and ADAS/Autonomous Driving.

Key Responsibilities

• Design and implement core components of the ML runtime framework for inference on embedded systems.
• Collaborate with compiler, hardware, and model teams to co-design efficient execution paths for AI workloads.
• Develop and maintain C++ code for runtime kernels and system-level integration.
• Develop tools to assist with performance profiling and debugging of quantized model accuracy.
• Analyze and improve runtime behavior using profiling tools and hardware counters.
• Support deployment of models from popular ML frameworks (Onnx, TensorFlow, PyTorch) onto Qualcomm’s inference stack.
• Challenge the status quo and drive innovations to be best-of-class.

Required Skills & Experience