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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior DFX Software Engineer - Machine Learning - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $180,000.0 - $281,250.0 - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Artificial Intelligence, Artificial Neural Networks, C++ (Programming Language), Communications Protocols, Computer Programming, Software Debugging, Logic Synthesis of Circuits, Python (Programming Language), Machine Learning, Software Engineering, Reinforcement Learning, Data Processing, Large Language Models, Multi-Agent Systems, Apache Spark, C++14 - **Published:** August 19, 2026 - **Apply:** https://www.jofdav.com/jobs/59311894-senior-dfx-software-engineer-machine-learning ## About the Role * 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++ is a huge plus. * Experience use of LLMs (Large Language Models), GNNs (Graph Neural Networks), and Reinforcement Learning for efficient EDA solution. * Expertise in high performance algorithms for DFT, simulations, and failure analysis. * Understanding of different agent architectures, RAG systems, and communication protocols * Deep familiarity with reinforcement learning algorithms like PPO, SAC, or Q-learning, including experience tuning hyper-parameters and reward functions * Hands on experience with large scale training (e.g., ZeRO) and data processing (e.g. Spark) * Excellent communication skills Ways to stand out from the crowd: * Proven deployment of large-scale agentic application with high concurrency and agility * Experience with software and hardware especially involving DFT, failure analysis, and CAD tools * Working experience of agentic models / frameworks, observability and evaluation tools * In-depth understanding of the graph neural networks, and reinforcement learning for logic design automation * Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases ## Description We are now looking for a Senior DFX Software Engineer - Machine Learning. Do you like to think creatively and enjoy solving challenges that require innovation? If so, we may have an opportunity for you. On our team we define and build methodologies, software, and flows tailored to the field of silicon device testing, silicon debug, and silicon failure analysis. We owe our success to our people, some of the brightest in the world, and a company culture that fosters and encourages innovation, and fuels our creativity! Our team contributes to the advancement of all the fields in which NVIDIA participates, from gaming to building groundbreaking state-of-the-art compute platforms and Artificial Intelligence, by enabling high quality Silicon defect screening to sustain all these fields. This often requires new ways of thinking in order to meet new challenges, and we pride ourselves in our ability to tackle these challenges in ways that enable our success. If you are a like-minded person who enjoys innovation and likes to solve technical challenges then we would love to hear from you! What you'll be doing: * Develop high performance software to enable design and development of efficient test pattern generation, application of these patterns on Silicon, failure analysis, and yield learning * Create efficient parallel graph traversal and graph analysis techniques * Work with multi-functional teams to assess and tackle problems that involve multiple areas of expertise through the company * Apply LLMs, RAGs, graph-based ML approaches, and reinforcement learning to define innovative solutions ## Related Videos - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Nemotron: NVIDIA's open model strategy for developers](https://www.wearedevelopers.com/videos/100064-nemotron-nvidia-s-open-model-strategy-for-developers) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)