Research Engineer
Tasks
- Accelerate edge and heterogeneous deployment
- Accelerate inference and compression
- Build scalable training and deployment pipelines
- Deploy inference on end devices
- Engineer multimodal embodied foundation models
- Improve observability and service reliability
- Integrate robot systems
- Optimize large-scale training performance
- Optimize model engineering and effectiveness
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Container Orchestration | Docker | Inference acceleration | Kubernetes | Linux | Model Compression | Network Performance | Network performance analysis | ONNX | Observability | Performance Analysis | PyTorch | Python | Service framework | TensorFlow | TensorRT | Training Acceleration
Education
Roles
Regions
States
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