Join Huawei Canada as a Researcher focused on edge AI optimization. You will conduct advanced research in hardware-aware neural networks while enhancing performance and power efficiency. In this permanent role, you will dive into latency and energy-aware training objectives through innovative research methodologies.

Key responsibilities involve developing novel approaches to neural network optimization and collaborating with both hardware and software teams to translate device constraints into actionable research targets. You will also mentor junior engineers and define the technical roadmap. Key Responsibilities:

- Conduct research in neural network optimization techniques
- Develop approaches for training objectives and Pareto optimization




- Prototype efficient inference methods under device constraints
- Publish and present findings in top venues
- Collaborate on compilers like TVM and TensorRT

Requirements:

- PhD in Machine Learning or related field
- 2+ years of relevant industry experience
- Proficient in Python and C/C++ programming
- Familiar with deep learning frameworks like PyTorch
- Proven publication record in notable ML venues

Advance your career in AI research by applying cutting-edge optimization techniques in a collaborative workplace at Huawei Canada.

📌 Researcher in Edge AI Optimization - Huawei Canada (Edmonton)
🏢 Huawei Canada
📍 Edmonton