Nvidia Senior Research Scientist Design Automation 

United States, California 

439635999

What you'll be doing:

As a leader in our Design Automation Research Group, you will:

• Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques.

• Innovate in EDA software and algorithms, with applications spanning supervised, unsupervised, and reinforcement learning, as well as GPU-accelerated optimization methods.

• Apply deep learning and GPU computing to improve ASIC and VLSI design tool flows.

• Collaboratecross-functionally withcircuit design, VLSI, and architecture teams, ensuring research translates into real-world product impact.

• Engage with the global research community by publishing in premier conferences, presenting at leading venues, and driving thought leadership.

• Fostercollaboration withexternal researchers and diverse internal product teams to amplify research outcomes.

What we need to see:

• Research Excellence: PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience), with 3+ years of post-PhD research experience and a strong record of impactful publications in top EDA and AI/ML venues; proven ability to set research direction and translate ideas into tools or products.

• Domain & Technical Expertise: Deep knowledge in EDA/VLSI (e.g., synthesis, physical design, verification, timing, reliability, or CAD algorithms) combined with 5+ years applying machine learning/deeplearning (supervised,unsupervised, RL) andGPU/accelerator-basedcomputing to large-scale problems.

• Programming & Systems Skills: 5+ years of experience in software development with proficiency in at least two of Python, PyTorch, C++, or CUDA; strong expertise in high-performance computing, parallelism, optimization, and large-scale software engineering.

• Leadership & Collaboration: experience in leading research projects or teams, with a track record of mentoring junior scientists, driving cross-functional initiatives withcircuits/VLSI/architecturegroups, and fostering collaborations with academia or industry.

• Communication & Impact: Excellent written and verbal communication skills, with demonstrated experience presenting at top conferences; track record of releasing high-impact open-source tools, datasets, or frameworks; ability to influence both technical and non-technical audiences.