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ad perspective across areas including EDA algorithms and software, machine learning (Graph, Generative AI, LLM, Agent) , and VLSI chip design methodology. Specific areas of research interest include but are not limited to applications of supervised learning, unsupervised learning, reinforcement learning , generative AI, LLM, Agent and GPU acceleration to EDA algorithms.
What you'll be doing:
Apply machine learning (Graph, Generative AI, LLM, Agent) and GPU acceleration to EDA software and ASIC and VLSI design tool flows.
Research and develop creative and innovative EDA software and algorithms.
Collaborate with circuits, VLSI, and architecture team members in research and product teams.
Publish and present your original research, speak at conferences and events
Collaborate with external researchers and a diverse set of internal product teams.
What we need to see:
Pursuing Ph.D in EE or related with a strong research record, well-referenced publications and / or patents (or equivalent experience)
You should display a strong background in EDA algorithms and software development, machine learning, along with knowledge of VLSI, circuits, IC design, and/or computer micro-architecture fundamentals.
Experience with C, C++, Python, and scripting languages.
Background with commonly used machine learning frameworks (PyTorch, Tensorflow).
Experience with CUDA and GPU computing
Strong communication skills needed. Being a creative and dynamic presenter is a huge advantage.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you!
The base salary range is 160,000 USD - 258,750 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.
NVIDIA is committed to fostering a diverse 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.