Research Scientist, Electronic Design Automation

Nvidia

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $168,000–$264,500 / yr
Posted: 100 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k

This role $216k

$125k most similar roles pay here $279k

This role pays more than 75% of similar roles. Most pay $145,000–$217,500 — the shaded band above. At the midpoint, this role pays about $216k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Research Scientist, Electronic Design Automation

Role Posting Log in to save

Research Scientist, Electronic Design Automation - New College Grad 2026 will join the NVIDIA Research team to drive groundbreaking research at the intersection of AI, GPU computing, and Electronic Design Automation. The successful candidate will define and conduct original research across EDA algorithms, VLSI design methodology, and advanced AI techniques including supervised, unsupervised, reinforcement learning, and agentic AI systems. Day-to-day responsibilities involve innovating in EDA software and GPU-accelerated optimization methods to improve ASIC and VLSI design tool flows while collaborating with circuit design and architecture teams. The role requires proficiency in Python, PyTorch, C++, or CUDA. Candidates must possess expertise in synthesis, physical design, design verification, and timing. This position focuses on solving complex technical problems by applying deep learning and GPU computing to transform traditional chip design workflows and electronic design automation processes.

What does a Research Scientist earn?

Median $216250 from 42 postings across 13 companies.

See salary data

Skills

Python PyTorch C++ CUDA Deep Learning Machine Learning EDA VLSI GPU Computing Reinforcement Learning Agentic AI ASIC Synthesis Physical Design Design Verification

What you'll do

Conduct original research across EDA algorithms, VLSI design methodology, and advanced AI techniques.
Innovate in EDA software and algorithms using supervised, unsupervised, reinforcement learning, and agentic AI systems.
Develop GPU-accelerated optimization methods for chip design applications.
Apply deep learning and GPU computing to improve ASIC and VLSI design tool flows.
Translate research findings into real-world product impacts for circuit design and architecture teams.
Publish original research and present findings at industry conferences and events.

What we're looking for

PhD in Computer Science, Electrical/Computer Engineering, or a related field.
Strong programming and systems knowledge.
Proficiency in at least two of Python, PyTorch, C++, or CUDA.
Publications in top EDA and AI/ML venues.
Expertise in EDA algorithms such as synthesis, physical design, design verification, and timing.
Experience applying machine learning and deep learning techniques to impactful problems.
Excellent written and verbal communication skills for presenting technical work.
Strong collaboration skills and the ability to work effectively within a research team.

Similar roles

Applied Machine Learning Engineer, Circuit Design

Nvidia

137 days ago $116,000–$189,750

Python C++ PyTorch LangChain LangGraph Deep Learning Machine Learning EDA VLSI ASIC Circuit Design SPICE Data Science Agentic Workflows Automation Algorithms QOR Silicon Analysis

Hybrid

Save

Research Scientist, Efficient Deep Learning

Nvidia

Santa Clara, CA 92 days ago $168,000–$264,500

Deep Learning Computer Vision Python PyTorch C++ CUDA Large Language Models Vision-Language Models Pruning Quantization NAS Parallel Programming

Save

ASIC Design Engineer

Nvidia

Santa Clara, CA 64 days ago $100,000–$166,750

RTL Verilog ASIC Design VLSI Micro-architecture Logic Synthesis Timing Analysis C++ Python Perl Computer Architecture Digital Systems Bus Protocols Interconnect Networks DMA Engines

Save

Low Power ASIC Engineer

Nvidia

Santa Clara, CA 101 days ago $100,000–$166,750

Verilog SystemVerilog UVM Synopsys VCS Incisive Verdi UPF Python Perl C C++ Makefile Low Power Design Power Management DVFS Clock Gating Power Gating

Save

GPU Power Architect

Nvidia

Santa Clara, CA 133 days ago $100,000–$166,750

Python Pandas NumPy PyTorch Machine Learning Power Modeling DVFS High-Performance Computing System-SW Architecture Data Analysis Simulators Multi-VT Clock Gating Power Gating

Save

Senior Applied Machine Learning Engineer, VLSI Design

Nvidia

Santa Clara, CA 30 days ago $152,000–$230,000

Python C++ PyTorch LangChain LangGraph Deep Learning Machine Learning EDA VLSI ASIC Circuit Design SPICE Data Science Agentic Workflows Design Automation QOR Silicon Analysis Automation Algorithms

4+ yrs exp Hybrid

Save