Engineer high-performance machine learning software in C++ for Qualcomm AI engines, optimizing neural networks across mobile, edge, automotive, and IoT products.

As a Staff AI Software Engineer within Machine Learning Engineering, you will create software for Snapdragon Neural Processing Engine, Android NN, and TensorFlow Lite delegate. You will develop algorithms, frameworks, tools, and SDK enhancements supporting state-of-the-art network models. The work requires collaboration with hardware, architecture, customer, and cross-functional teams.

Key Responsibilities

Optimize neural-network runtime performance and accuracy

Develop AI software stack framework enhancements

Build tools for profiling and debugging neural networks





Enable new models and AI software features

Collaborate on commercial-quality software releases

Requirements

Bachelor’s degree and four-plus years relevant experience

Master’s degree and three-plus years relevant experience

PhD and two-plus years relevant experience

Robust C++ programming, analytical, development, and debugging skills

Deep-learning frameworks including TensorFlow or PyTorch

Use C++, machine-learning frameworks, and analytical debugging skills to advance Qualcomm’s high-performance AI engine software.

📌 C++ Machine Learning Software Engineer (Winnipeg)
🏢 QUALCOMM
📍 Winnipeg