Senior DFX Software Engineer - Machine Learning
Tasks
- Apply LLM and RAG approaches to solutions
- Apply reinforcement learning to define solutions
- Create parallel graph traversal and analysis techniques
- Develop high-performance software
- Enable test pattern generation and application
- Perform failure analysis and yield learning
- Use graph based machine learning approaches
- Work with cross functional teams on EDA problems
Perks/Benefits
- N/A
Skills/Tech-stack
Agent architectures | Agent systems | Apache Spark | C++ | DFT | Data Processing | EDA | Failure analysis | Graph Neural Networks | Graph traversal | High Performance | High-Performance Computing | Hyperparameter Tuning | Language Models | Large Language Models | Model Evaluation | Multi-Agent | Multi-Agent Systems | Neural Networks | Observability | PPO | Performance Computing | Python | Q-learning | RAG | Reinforcement Learning | Reward Functions | SAC | Simulation | Vector Databases | Zero
Education
Regions
Countries
States
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