Research Scientist, Electronic Design Automation - New College Grad 2026

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$168,000–$264,500 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k
This role $216k
$128k most similar roles pay here $279k

This role pays more than 84% of similar roles. Most pay $152,875–$213,375 — the shaded band above. At the midpoint, this role pays about $216k versus about $183k 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 985 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 971 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Research Scientist, Electronic Design Automation - New College Grad 2026

Apply Now Log in to save

Join NVIDIA Research as a PhD researcher where you will drive cutting-edge innovation at the nexus of AI, GPU computing, and Electronic Design Automation (EDA). Your role involves defining and conducting original research in EDA algorithms, VLSI design methodology, and advanced AI techniques, applying deep learning and GPU acceleration to enhance ASIC and VLSI design tool flows. You will collaborate with cross-functional teams to ensure your research translates into impactful product advancements while publishing and presenting your findings at conferences. Ideal candidates hold a PhD in Computer Science or Electrical/Computer Engineering with expertise in EDA algorithms and machine learning, proficiency in Python, PyTorch, C++, or CUDA, and a track record of publications in top-tier venues.

Skills

Python PyTorch C++ CUDA EDA VLSI ASIC GPU Deep Learning Reinforcement Learning Agentic AI Supervised Learning Unsupervised Learning Synthesis Physical Design Design Verification Timing Analysis Machine Learning Publication in EDA and AI/ML venues

What you'll do

  • Define and conduct original research in EDA algorithms and VLSI design methodology.
  • Innovate in GPU-accelerated optimization methods for advanced AI techniques.
  • Apply deep learning to enhance ASIC and VLSI design tool flows.
  • Publish and present original research at conferences and industry events.
  • Collaborate with internal teams to ensure research impacts real-world products.

What we're looking for

  • PhD in Computer Science, Electrical/Computer Engineering, or related field.
  • Proficiency in Python, PyTorch, C++, or CUDA for programming and systems development.
  • Publications in top EDA and AI/ML academic venues.
  • Expertise in EDA algorithms with ML/DL applications to real-world problems.
  • Strong self-motivation, creativity, and passion for collaborative research.
  • Excellent communication skills for presenting technical work effectively.

Related searches

More Research Scientist jobs Research Scientist jobs in Santa Clara All jobs at Nvidia

More like this

Similar roles

Hardware Applications Engineer - New College Grad 2026

Nvidia

Santa Clara, CA 39 days ago $100,000–$166,750
Linux Windows x86 ARM BMC PCIe GPU High Performance Computing AI Oscilloscopes Logic Analyzers Multi-meters Linux Environments Enterprise System Architecture CPU Architecture Technical Documentation Product Specifications Hardware Design Guides Application Notes
Save

Software R&D Engineer, Digital Logic Synthesis - New College Grad 2026

Nvidia

Santa Clara, CA 4 days ago $116,000–$189,750
C++ EDA RTL synthesis digital logic optimization graph-based algorithms AI ML GNNs RL high performance computing multithreading distributed computing Verilog SystemVerilog static timing analysis power & area optimization SAT solvers Verific Espresso
Save

AI Chip Design Engineer - New College Grad 2026

Nvidia

Santa Clara, CA 67 days ago $116,000–$189,750
Python LangChain LangGraph AutoGen CrewAI RAGs vector databases prompt engineering knowledge graphs Verilog System Verilog temporal logic assertions RFL GPU architectures CPU architectures HW verification methodologies
Save

Research Scientist, AI for Graphics and Gaming - New College Grad 2026

Nvidia

Santa Clara, CA 130 days ago $168,000–$264,500
PyTorch CUDA GPU NVIDIA Distributed Training Deep Learning Image Generation Video Generation Graphics Computer Vision Neural Rendering Synthetic Data Real-time Engines Data Pipelines Large Models Multi-GPU Clusters Low-Precision Training Pruning Distillation
Save