Principal Architect - Large Model and Training System Performance Optimization
Vancouver, British Columbia, Canada
CAD 121K-230K Senior-level Full Time
Tasks
- Analyze scenario requirements and technology trends
- Collaborate with global research teams
- Create project plans and development roadmap
- Define requirements for MindX AI frameworks acceleration libraries and chip hardware
- Design software hardware architecture for AI training systems
- Implement distributed training performance optimization using deep learning frameworks
- Lead architecture design of Ascend training products
- Optimize AI training performance on GPU NPU platforms
- Use performance analysis tools to improve runtime efficiency
Perks/Benefits
Skills/Tech-stack
AI | C plus plus | C# | DLProf | Deep learning | Deep reinforcement learning | DeepSpeed | Distributed Training | GPU | Hardware Architecture | Megatron | MindX | NPU | Nsight Compute | Nsight Systems | Performance Analysis | Performance optimization | PyTorch | Python | Ray | Reinforcement Learning | Software Architecture | System Performance | System performance analysis | VeRL
Education
Roles
Architect | Principal | Principal Architect | Software Architect
Regions
Countries
States
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