
Research Scientist, Electronic Design Automation - New College Grad 2026
Summary
NVIDIA Research is hiring a PhD-level new grad Research Scientist to conduct original research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA), with direct impact on next-generation chip design tools and VLSI flows.
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). Deep learning and GPU acceleration are transforming the future of chip design, and this role offers the opportunity to shape that future. Widely considered to be one of the technology world’s most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future for us. Are you a creative and collaborative researcher interested in seeking new challenges? If so, we want to hear from you!
What you'll be doing:
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.
What we need to see:
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 CUDA
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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.What you'll do
Requirements
Nice to have
Role overview
Tech stack analysis
Green flags
6 itemsDiscover all 6 green flags for this role
Sign up free →Benefits breakdown
See all benefits organized by category — health, financial, time off & more
Sign up free →Hiring insights
See JD quality score, hiring urgency & team details
Sign up free →Red flags
PRO4 itemsSee all 4 red flags — what the JD isn't telling you
Sign up free →Interview insights
PROGet full interview breakdown — rounds, likely topics & prep tips
Sign up free →Career path
PROSee where this role leads — full career progression
Sign up free →NVIDIA is the world's leading designer of GPUs and AI computing platforms. Its chips power everything from gaming and data centers to autonomous vehicles and scientific research. With a market cap exceeding $2 trillion, NVIDIA's CUDA platform and AI accelerators have become the backbone of the global AI revolution.