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 and power
- Collaborate on next generation AI engine features
- Define HW SW partitioning across heterogeneous compute
- Develop hardware aware deep learning engines
- Develop workload characterization methodologies
- Drive top down architecture exploration for hardware implementation
- Map computer vision models to mobile AI accelerators
Perks/Benefits
- N/A
Skills/Tech-stack
AI accelerators | Accelerator architecture | Algorithm Design | C++ | CPUs | Co-design | Computational Photography | Computer Vision | DSPs | Deep Learning Accelerator | Deep Learning Accelerator Architecture | Deep learning | GPUs | Hardware-Software Co-design | Hardware-aware algorithm design | Hardware/software | Image Segmentation | Memory hierarchy | Model Quantization | Motion estimation | NPUs | Network operators | Neural Network | Neural Networks | Neural network operators | Object Detection | Object Tracking | Performance Modeling | Python | Real Time | Real-time Systems | Scene Understanding | Software Co-design | Tensor processing | Time Systems
Education
Regions
Countries
States
Cities
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