NVIDIA is seeking a Senior Research Scientist to drive groundbreaking research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA) to shape the future of chip design
Requirements
- Deep knowledge in EDA/VLSI (e.g., synthesis, physical design, verification, timing, reliability, or CAD algorithms) combined with 5+ years applying machine learning/deep learning (supervised, unsupervised, RL) and GPU/accelerator-based computing to large-scale problems
- 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
- Experience with GPU-accelerated optimization methods
- Knowledge of supervised, unsupervised, and reinforcement learning techniques
- Experience with ASIC and VLSI design tool flows
Responsibilities
- 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
- Collaborate cross-functionally with circuit 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
- Foster collaboration with external researchers and diverse internal product teams to amplify research outcomes
Other
- PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience), with 3+ years of post-PhD research experience
- Excellent written and verbal communication skills, with demonstrated experience presenting at top conferences
- Ability to influence both technical and non-technical audiences
- Experience in leading research projects or teams, with a track record of mentoring junior scientists
- Ability to drive cross-functional initiatives with circuits/VLSI/architecture groups
