Computer Vision System Engineer
San Diego, California, United States of America
USD 122K-213K Entry-level Full Time
Tasks
- Analyze neural network workloads for performance power and bandwidth
- Apply quantization and memory hierarchy strategies
- Characterize workloads and build performance models
- Collaborate to define next generation AI engine features
- Define hardware software partitioning across heterogeneous compute
- Develop hardware aware deep learning engines
- Drive architecture exploration from algorithm to hardware implementation
- Map computer vision models to mobile AI accelerators
- Support neural network operators dataflows and tensor pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Accelerators | C++ | CPU | Co-design | Computer Vision | DSP | Deep learning | GPU | HW/SW co-design | Hardware-software partitioning | Hardware/software | Memory hierarchy | NPU | Network operators | Neural Network | Neural Networks | Neural network operators | Performance Modeling | Python | Quantization | Real Time | Real-time Systems | Software partitioning | System Architecture | Tensor processing | Time Systems | Workload characterization
Education
Regions
Countries
States
Cities
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