Description
We are searching for a world-class new college grad PhD researcher to drive groundbreaking research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA). Deep learning and GPU acceleration are transforming the future of chip design, and this role offers the opportunity to shape that future.
As a Research Scientist, you will define and conduct original research across EDA algorithms, VLSI design methodology, and advanced AI techniques. You will innovate in EDA software and algorithms, with applications spanning supervised, unsupervised, reinforcement learning, agentic AI systems, as well as GPU-accelerated optimization methods.
You will apply deep learning and GPU computing to improve ASIC and VLSI design tool flows. You will collaborate cross-functionally with circuit design, VLSI, and architecture teams, ensuring research translates into real-world product impact.
You will publish and present your original research, speak at conferences and events, and collaborate with external researchers and a diverse set of internal product teams.
We are looking for a PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience). You should have strong programming and systems skills, proficiency in at least two of Python, PyTorch, C++, or CUDA, and publications in top EDA and AI/ML venues.
You should also have domain and technical expertise in EDA algorithms combined with publications and project experience applying machine learning/deep learning to impactful problems. You should have excellent self-motivation, a high degree of creativity, and a passion for research, collaboration skills, and the ability to work effectively within a research team.
You will also be eligible for equity and benefits.