New offer - be the first one to apply!
June 18, 2025
Senior • On-site
$136,000 - $264,500/yr
Santa Clara, CA
We are now looking for a Senior Software Engineer - Design-For-Test. 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 software in modern C++ and various scripting languages to enable design and development of software enabling 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, graph-based ML approaches, and reinforcement learning to define innovative solutions
What we need to see:
Excellent communication skills
BS (MS or higher degree preferred) in EE or CS (or equivalent experience)
5+ years of experience in Software development
Experience with GenAI application development using LLM frameworks and multi agent applications
Expertise in evaluation systems (such as RAGAs), and observability platforms (such as Arize Phoenix)
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 hyperparameters and reward functions
Hands on experience with large scale training (e.g., ZeRO) and data processing (e.g. Spark)
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 modern LLMs, and proprietary APIs
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.
#LI-Hybrid
The base salary range is 136,000 USD - 264,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.