Senior DFX Software Engineer, Machine Learning

What you'll do

• Develop high-performance software for efficient test pattern generation and silicon application.
• Perform silicon failure analysis and yield learning to improve hardware quality.
• Create efficient parallel graph traversal and graph analysis techniques.
• Apply LLMs, RAGs, and graph-based ML approaches to define innovative solutions.
• Implement reinforcement learning algorithms like PPO, SAC, or Q-learning for logic design automation.
• Manage large-scale training processes and data processing using tools like ZeRO and Spark.
• Build and deploy large-scale agentic applications with high concurrency and agility.
• Develop software for DFT, simulations, and failure analysis using Python or C++.

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.
• Deep familiarity with reinforcement learning algorithms like PPO, SAC, or Q-learning, including hyper-parameter tuning and reward functions.
• Hands-on experience with large scale training (e.g., ZeRO) and data processing (e.g. Spark).