Senior Computer Vision and Deep Learning Hardware Architect
Tasks
- Analyze prototype and optimize computer vision applications
- Build models to predict performance power and reliability
- Collaborate with teams to improve PVA architecture for performance efficiency reliability and programmability
- Craft tools to analyze simulate validate and verify performance
- Deliver efficient software on PVA for autonomous driving
Perks/Benefits
- N/A
Skills/Tech-stack
Autonomous Vehicles | C# | C++ | Computer Architecture | Computer Vision | Consumption Modeling | DSP Programming | Debugging | Deep learning | Energy consumption | Energy consumption modeling | GPU Programming | High Performance | High-Performance Computing | Optimization | Performance Characterization | Performance Computing | Performance Modeling | Profiling | System Performance | System Performance Characterization
Education
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