Senior DFX Software Engineer, Machine Learning

What you'll do

• Develop high-performance software for test pattern generation and silicon failure analysis.
• Create efficient parallel graph traversal and graph analysis techniques.
• Apply LLMs, RAGs, and graph-based machine learning to develop innovative solutions.
• Implement reinforcement learning algorithms like PPO, SAC, or Q-learning for EDA solutions.
• Build advanced multi-agent systems and RAG pipelines using vector databases.
• Perform large-scale training and data processing using tools like ZeRO and Spark.
• Develop software to support silicon defect screening and yield learning.

What we're looking for

• BS in EE or CS (or equivalent experience); MS or higher degree preferred.
• 5+ years of experience in software development.
• Strong programming experience in Python or C++.
• Hands on development in modern C++ (preferred).
• Experience using LLMs, GNNs, and Reinforcement Learning for efficient EDA solutions.
• Expertise in high performance algorithms for DFT, simulations, and failure analysis.
• Understanding of agent architectures, RAG systems, and communication protocols.
• Familiarity with RL algorithms like PPO, SAC, or Q-learning, including hyper-parameter tuning and reward functions.