Staff Software Engineer, Deep Learning Acceleration
Tasks
- Apply roofline model for performance optimization
- Collaborate with cross functional teams to improve efficiency and reliability
- Conduct performance analysis and optimization of deep learning networks
- Deploy deep learning models on autonomous vehicles
- Optimize software architecture for deep learning
- Optimize system performance and latency
- Train deep learning models in large scale data centers
- Troubleshoot performance issues using profiling
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | Computer Vision | Deep learning | GPU Memory Optimization | GPU memory | High Performance | High-Performance Computing | Inference Server | Latency optimization | Linux | Machine Learning | Memory Optimization | NVIDIA Nsight | NVIDIA Nsight Compute | Neural Networks | Nsight Compute | Nsight Systems | Nvidia NSight Systems | Parallel Programming | Performance Computing | Performance Tuning | Profiling | PyTorch | Python | Roofline model | System Performance | TensorFlow | TensorRT | Transformers | Triton Inference | Triton Inference Server | Unix
Education
Roles
Regions
Countries
States
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