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
What we need to see:
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
NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor’s degree in Electrical Engineering, Computer Science, or equivalent experience
- Master’s degree or higher
- 5+ years of software development experience
- Strong programming experience in Python or C++
- Hands-on development experience with modern C++
- Experience using LLMs, Graph Neural Networks, and Reinforcement Learning for EDA solutions
- Expertise in high-performance algorithms for Design-for-Test, simulations, and failure analysis
- Understanding of agent architectures, RAG systems, and communication protocols
- Deep familiarity with PPO, SAC, or Q-learning, including hyperparameter and reward-function tuning
- Hands-on experience with large-scale training such as ZeRO and data processing such as Spark
- Excellent communication skills
- Deployment of large-scale agentic applications with high concurrency and agility
- Software and hardware experience involving DFT, failure analysis, and CAD tools
- Experience with agentic models or frameworks, observability, and evaluation tools
- In-depth understanding of GNNs and reinforcement learning for logic design automation
- Experience fine-tuning LLMs and building multi-agent systems, RAG pipelines, and vector databases
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
