Senior DFX Software Engineer - Machine Learning
NVIDIAJob Title
Senior DFX Software Engineer - Machine Learning
Role Summary
Senior software engineer on a DFX/DFT team building methodologies and tools for silicon device testing, silicon debug, failure analysis, and yield learning. The role focuses on high-performance software, graph-based analysis, and applying machine-learning techniques to EDA and failure-analysis workflows.
Work closely with cross-functional teams to define and deliver scalable solutions that accelerate defect screening and improve product quality.
Experience Level
Senior — typically requires 5+ years of software development experience as stated in the posting.
Responsibilities
Key responsibilities include:
- Develop high-performance software to support test-pattern generation, application of patterns on silicon, failure analysis, and yield-learning pipelines.
- Design and implement efficient parallel graph traversal and graph-analysis techniques for large-scale data.
- Apply LLMs, retrieval-augmented generation (RAG) systems, graph-based ML, and reinforcement learning to create automated and scalable EDA solutions.
- Collaborate with multi-functional teams across design, test, and analysis to address cross-disciplinary problems.
- Integrate agent architectures and communication protocols into production workflows for automated analysis and tooling.
Requirements
Minimum and desired technical qualifications:
- Must-have: 5+ years of software development experience; strong programming skills in Python or C++; solid experience applying LLMs, graph neural networks (GNNs), and reinforcement learning to practical problems.
- Must-have: Expertise with high-performance algorithms relevant to DFT, simulations, and failure analysis; familiarity with RL algorithms such as PPO, SAC, or Q-learning and experience tuning hyperparameters and reward functions.
- Must-have: Hands-on experience with large-scale training techniques (e.g., ZeRO) and big-data processing (e.g., Spark); strong communication skills.
- Nice-to-have: Modern C++ development experience; deployed large-scale agentic applications with high concurrency; experience with CAD tools, DFT hardware/software integration, observability/evaluation tooling, fine-tuning LLMs, multi-agent systems, RAG pipelines, and vector databases.
Education Requirements
BS in Electrical Engineering or Computer Science (or equivalent practical experience) is required; MS or higher preferred.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
