The Senior DFX Software Engineer - Machine Learning role at NVIDIA focuses on developing high-performance software for silicon device testing and failure analysis. The team is dedicated to innovation and solving complex challenges in the fields of gaming, compute platforms, and artificial intelligence. Candidates will work collaboratively with multi-functional teams to create efficient solutions using advanced machine learning techniques. This position requires a strong background in software development and a passion for technology.

• BS in Electrical Engineering or Computer Science, with a preference for a MS or higher degree.
• 5+ years of experience in software development.
• Strong programming experience in Python or C++, with hands-on development in modern C++ being a huge plus.
• Experience with Large Language Models, Graph Neural Networks, 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.
• Hands-on experience with large scale training and data processing.

• Develop high-performance software for efficient test pattern generation and yield learning.
• Create efficient parallel graph traversal and graph analysis techniques.
• Work with multi-functional teams to assess and tackle complex problems.
• Apply LLMs, RAGs, graph-based ML approaches, and reinforcement learning to define innovative solutions.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.