Research Engineer
Tasks
- Accelerate inference on edge heterogeneous platforms
- Build intelligent agent systems for real world robotics
- Collaborate with algorithm hardware and testing teams to optimize system integration
- Containerize services with Docker
- Deploy AI models using TensorRT and ONNX
- Develop inference and serving frameworks
- Implement service observability and monitoring
- Integrate large model perception decision and control modules
- Optimize training performance and scalability
- Orchestrate services with Kubernetes
- Train embodied multimodal large models at scale
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | CUDA | Docker | GPU memory | GPU memory management | Inference Optimization | Kubernetes | Linux | Memory Management | Model Training | Model training optimization | Networking | ONNX | Parallel Computing | Performance Analysis | PyTorch | Python | TensorFlow | TensorRT | Training Optimization
Education
Roles
Regions
States
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