AI Research Engineer (Kernel & Inference Optimization) - 100% Remote Worldwide
Tasks
- Build inference evaluation pipelines
- Design model serving architectures
- Identify and resolve inference bottlenecks
- Implement distributed inference parallelism
- Monitor inference performance metrics
- Optimize GPU kernel performance
- Optimize inference strategies
- Prepare test datasets and simulation scenarios
Perks/Benefits
Skills/Tech-stack
Diffusion Models | Distributed Inference Systems | Distributed inference | Expert parallelism | Flash Attention | GPU Kernels | High Throughput | Inference Optimization | Inference Systems | KV cache | Language Processing | Low Latency | Machine Learning | Memory Optimization | Model Serving | Model architectures | Natural Language | Natural Language Processing | Performance Metrics | Pipeline parallelism | Pruning | Quantization | Speculative decoding | Tensor Parallelism | Vision Transformers
Education
Roles
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