Researcher - AI Computing System

CAD 78K-150K Senior-level Contract Full Time Found 14d ago

Tasks

• Address system bottlenecks in training and inference
• Advance performance and efficiency in large-model AI systems
• Create software frameworks and libraries for NPU platforms
• Design and build efficient AI training clusters
• Develop optimization solutions for AI training and inference
• Integrate AI algorithm requirements with system-level architectural optimization
• Leverage dynamic cluster configuration and precision control
• Stay updated on AI computing research and trends

Perks/Benefits

• N/A

Skills/Tech-stack

AI Algorithms | AI accelerators | Architecture Design | C++ | Deep learning | GPU | Hardware acceleration | Inference Optimization | Large model | Large model training | Low-precision training | Model Training | Model structures | Model structures like Llama and Deepseek | Multimodal optimization | NPU | Parallel strategy tuning | Python | Reinforcement Learning | Software development | System Architecture | System Optimization | System architecture design | Training frameworks