Senior Systems Software Engineer - Deep Learning Solutions
Canada, Toronto
CAD 225K-275K Senior-level Full Time Found 3d ago
Tasks
- Analyze and optimize deep learning models for embedded hardware
- Benchmark performance on MLPerf Edge and industry standards
- Collaborate with hardware, compiler, and runtime teams
- Develop inference solutions for edge platforms
- Evaluate emerging model architectures for deployment
- Participate in build reviews and roadmap planning
- Represent NVIDIA at conferences and events
Perks/Benefits
Skills/Tech-stack
Architecture Analysis | C/C++ | CUDA | Compiler IRs | Deep learning | Deep learning inference | Embedded Linux | GPU Architecture | Heterogeneous computing | Low-level performance | Low-level performance optimization | Memory Management | Model Architecture | Model architecture analysis | Parallel Programming | Performance optimization | TensorRT
Education
BS | BSc | Master's Degree
Language: en |
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