Applied AI Engineer
Tasks
- Architect and implement AI solutions for chip design workflows
- Build data systems for AI performance improvement
- Debug hardware-software interaction issues
- Deploy monitor and debug AI and machine learning models
- Design and deploy AI validation pipelines
- Evaluate AI frameworks and architectures
- Integrate AI across engineering teams
- Measure AI impact with quantitative indicators
- Support silicon bring up and lab debug using test tools
Perks/Benefits
Skills/Tech-stack
C# | C++ | CUDA | Computer Architecture | Data Engineering | Deep learning | Driver Development | Firmware | Java | LLM orchestration | Langchain | Language Models | Large Language Models | Logic analyzer | Machine Learning | Model Debugging | Model Monitoring | Multimeter | Oscilloscope | PyTorch | Python | Scala | Semiconductor characterization | TensorFlow
Education
Roles
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