Senior Research Scientist, Design Automation Research

Details

NVIDIA is seeking a Senior Research Scientist 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.

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.

Requirements

• Research excellence: PhD in Computer Science, Electrical/Computer Engineering, or a 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; demonstrated ability to set research direction and translate ideas into tools or products.
• Domain & technical expertise: Deep knowledge in EDA/VLSI (examples: 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.
• Programming & systems skills: 5+ years of software development experience 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 leading research projects or teams, mentoring junior scientists, driving cross-functional initiatives with circuits/VLSI/architecture groups, and fostering collaborations with academia or industry.
• Communication & impact: Excellent written and verbal communication skills, experience presenting at top conferences, a track record of releasing high-impact open-source tools, datasets, or frameworks, and the ability to influence both technical and non-technical audiences.

Compensation

• Base salary range: 184,000 USD - 299,000 USD (final base salary determined by location, experience, and comparable roles).
• You will also be eligible for equity and benefits. For details: https://www.nvidia.com/en-us/benefits/

Additional Information

• Applications for this job will be accepted at least until October 19, 2025.
• NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. They do not discriminate in hiring and promotion practices on the basis of any characteristic protected by law.