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Large Scale Model Developer
2 weeks ago
Develop, optimize, and improve large-scale model operators for inference and training. Collaborate closely with hardware experts to co-optimize software and hardware systems.
Key Responsibilities:
- Design high-performance large model compilation systems through self-developed NPU software and hardware systems.
- Conduct research and introduce cutting-edge technologies for large models in collaboration with the chip department.
- Optimize parallel strategies and performance for both inference and training.
Requirements:
- Masters or Bachelors degree in Computer Science, Electronics, Automation, Software, or related fields; proficient in C/C++ or Python, with strong knowledge of algorithms and data structures.
- Familiar with high-performance computing optimization techniques for self-developed NPUs/GPUs, computer architecture, distributed parallel computing optimization, memory access optimization, and low-bit computation.
- Knowledgeable in at least one deep learning training framework, such as PyTorch, TensorFlow, or MindSpore; familiar with compilation frameworks like TVM, MLIR, XLA, LLVM; experience in operator acceleration and optimization is a plus.
- Familiar with mainstream LLM (Large Language Model) architectures; experience with acceleration and optimization of LLM models and tools like TensorRT-LLM, ORCA, VLLM is preferred.
What You Will Experience Working With Us:
- A culture that values authenticity and diversity of thoughts and backgrounds;
- An inclusive and respectful environment with open workspaces and exciting start-up spirit;
- Fast-growing company with opportunities to network with industrial pioneers and enthusiasts;
- Ability to contribute directly and make an impact on the future of the digital asset industry;
- Involvement in new projects, developing processes/systems;
- Personal accountability, autonomy, fast growth, and learning opportunities;
- Attractive welfare benefits and developmental opportunities such as training and mentoring.
