【27届校招】具身智能模型部署工程师
Tasks
- Build automated regression for precision alignment
- Collaborate with algorithm and chip teams for deployment feasibility
- Construct model deployment toolchain
- Convert and adapt VLM VLA and multimodal models
- Deploy embodied AI models on robot and custom chip platform
- Develop model performance benchmarks and publish workflow
- Evaluate and optimize on device inference performance
- Quantize models and validate accuracy
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | CUDA | Deep learning | Embedded Linux | Mixed Precision | Model Accuracy | Model Conversion | Model Quantization | Multimodal Models | NPU | ONNX | PTQ | Performance Benchmarking | Precision alignment | PyTorch | Python | QAT | TensorRT | Transformer
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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