Research Scientist, Electronic Design Automation - New College Grad 2026
at Nvidia
USD 168,000-264,500 per year
Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 6
Algorithms @ 3
Machine Learning @ 3
Communication @ 3
PyTorch @ 6
CUDA @ 6
GPU @ 3
Deep Learning @ 3
AI @ 3
Reinforcement Learning @ 3
Agentic AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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. NVIDIA seeks creative and collaborative researchers interested in seeking new challenges.
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 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 and systems skills: proficiency in at least two of Python, PyTorch, C++, or CUDA.
- Publications in top EDA and AI/ML venues.
- Domain and technical expertise in EDA (e.g., synthesis, physical design, design verification, timing) combined with experience applying machine learning/deep learning (supervised, unsupervised, RL, agentic AI) to impactful problems.
- Excellent self-motivation, creativity, and a passion for research; strong collaboration skills and 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
- Base salary range: 168,000 USD - 264,500 USD (determined based on location, experience, and pay of employees in similar positions).
- Eligibility for equity and company benefits (link to NVIDIA benefits).
Applications for this job will be accepted at least until February 9, 2026. 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 is an equal opportunity employer.