Inference Optimization Intern – Performance Modeling
Tasks
- Analyze GPU execution using Nsight Systems and Nsight Compute
- Build and validate simulator for GPU inference
- Compare measured kernel performance with theoretical throughput
- Design profiling methodologies for Hopper and Blackwell architectures
- Develop analytical performance models for GPU kernels
- Document findings and recommend performance improvements
- Evaluate Tensor Core utilization memory bandwidth caches instruction pipelines
- Identify performance bottlenecks in compute memory communication scheduling
- Investigate PTX and SASS code generation
- Optimize transformer inference kernels
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | CUDA | GPU Architecture | GPU Kernel | GPU Kernel Development | Kernel development | Memory bandwidth | NVIDIA Nsight | NVIDIA Nsight Compute | Nsight Compute | Nsight Systems | Nvidia NSight Systems | PTX | Performance Modeling | PyTorch | Python | Roofline analysis | SASS | Tensor cores | TensorFlow | Transformer Models
Education
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