Senior AI Solutions Architect - Semiconductors
Tasks
- Advise semiconductor customers on accelerated computing
- Analyze EDA and manufacturing architectures for performance acceleration
- Apply machine learning and deep learning to defect detection and yield optimization
- Deliver trainings hackathons and technical demonstrations
- Design and prototype AI ML based customer solutions
- Embed NVIDIA accelerated computing in design verification and manufacturing workflows
- GPU accelerate EDA workflows
- Provide technical feedback to engineering and research teams
Perks/Benefits
Skills/Tech-stack
C plus plus | CUDA | Computational lithography | Containers | Data Pipelines | Deep learning | Defect Detection | Distributed Systems | GPU Computing | Git | HPC | Image Processing | Inspection metrology | Kubernetes | Machine Learning | Networking | Numerical libraries | Orchestration | Process control | PyTorch | Python | TCAD | TensorFlow | Version control | Yield Optimization
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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