AI System Research and Development Engineer - Optimization
Tasks
- Analyze and optimize GPU kernel performance for LLM training and inference
- Debug complex performance problems
- Design and implement latency optimizations for training and inference
- Develop agentic frameworks for LLM driven workflows
- Develop strategies to improve efficiency and scalability of deep learning systems
- Improve GPU utilization and resource efficiency
- Profile and benchmark deep learning systems to identify bottlenecks
- Publish technical innovations and engineering practices
- Use profiling tools to analyze performance issues
Perks/Benefits
- N/A
Skills/Tech-stack
CUDA | CUDNN | Cutlass | Deep learning | GPU Architecture | GPU Kernel | GPU kernel optimization | High Performance | High-Performance Computing | JAX | Kernel optimization | LLM Inference | LLM Training | Latency optimization | Performance Benchmarking | Performance Computing | Profiling | PyTorch | TensorFlow | Triton
Education
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