Research Scientist, Electronic Design Automation - New College Grad 2026

About the role

NVIDIA Research is 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).

Responsibilities

• Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced AI techniques.
• Innovate in EDA software and algorithms, with applications spanning supervised, unsupervised, reinforcement learning, agentic AI systems, 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.
• Publish and present your original research, speak at conferences and events.
• Collaborate with external researchers and a diverse set of internal product teams.

Requirements

• PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience)
• Strong Programming & Systems Skills: Proficiency in at least two of Python, PyTorch, C++, or CUD
• Publications in top EDA and AI/ML venues
• Domain & Technical Expertise: Expertise in EDA (e.g., synthesis, physical design, design verification, timing) algorithms combined with publications and project experience applying machine learning/deep learning (supervised, unsupervised, RL, agentic AI) to impactful problems.
• 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.
• Excellent written and verbal communication skills, with proven experience communicating technical work (e.g., academic presentations, poster sessions); ability to synthesize and explain complex technical concepts.

Qualifications

• PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience)

Skills

• Strong Programming & Systems Skills: Proficiency in at least two of Python, PyTorch, C++, or CUD
• Publications in top EDA and AI/ML venues
• Expertise in EDA (e.g., synthesis, physical design, design verification, timing) algorithms combined with publications and project experience applying machine learning/deep learning (supervised, unsupervised, RL, agentic AI) to impactful problems.
• 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.
• Excellent written and verbal communication skills, with proven experience communicating technical work (e.g., academic presentations, poster sessions); ability to synthesize and explain complex technical concepts.

Benefits

• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 168,000 USD - 264,500 USD.
• You will also be eligible for equity and benefits.

Pay

• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 168,000 USD - 264,500 USD.

Schedule

• Not specified