AI Research Engineer (Kernel & Inference Optimization)
Tasks
- Build scalable inference pipelines
- Create testing datasets and deployment scenarios
- Design model serving architectures
- Develop benchmarking and validation frameworks
- Improve inference infrastructure through experimentation
- Integrate optimized inference solutions into production
- Monitor inference performance metrics
- Optimize inference for low latency and high throughput
- Optimize inference frameworks and deployment strategies
- Profile serving pipelines and identify bottlenecks
- Run inference experiments for performance and reliability
Perks/Benefits
Skills/Tech-stack
Benchmarking | C++ | CUDA | Docker | Inference | Kubernetes | Latency optimization | Linux | Memory Optimization | Model Deployment | Model Serving | ONNX | Profiling | PyTorch | Python | TensorFlow | Throughput Optimization
Education
N/A
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