AI and ML Power Methodology Engineer
Tasks
- Build data visualizations for analysis
- Build dataset pipelines for LLM training annotation
- Create LLM tools for power pattern analysis and debugging
- Develop AI ML DL methodologies for pre silicon power estimation
- Develop power data pipelines from silicon and emulation sources
- Enable data storage and retrieval
- Generate optimized code with LLMs
- Implement retrieval-augmented generation pipelines
- Improve GPU energy efficiency
- Train and fine-tune large language models
Perks/Benefits
Skills/Tech-stack
Agentic Frameworks | Algorithms | C++ | Data Annotation | Data Pipelines | Data Structures | Data Visualization | Deep learning | Language Models | Large Language Models | Machine Learning | Python | RAG Pipelines | Retrieval-Augmented Generation | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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