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NVIDIA

Research Scientist, Electronic Design Automation - New College Grad 2026

  • Office

Salary

$168,000 - 264,500/ year

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Description

The company's research group is hiring a new college graduate with a PhD to lead original research where AI, GPU computing and Electronic Design Automation (EDA) meet.

Deep learning and GPU acceleration are changing how chips are designed, and this role lets you help shape that change.

You will be a creative, collaborative researcher who wants new challenges.

Responsibilities

  • Define and carry out original research in EDA algorithms, VLSI design methodology and advanced AI techniques.
  • Build new EDA software and algorithms using supervised, unsupervised and reinforcement learning, agentic AI systems and GPU-accelerated optimization methods.
  • Use deep learning and GPU computing to improve ASIC and VLSI design tool flows.
  • Work with circuit design, VLSI and architecture teams so your research leads to real product impact.
  • Publish your original research and present it at conferences and events.
  • Collaborate with external researchers and several internal product teams.

Requirements

  • A PhD in Computer Science, Electrical or Computer Engineering, or a related field, or equivalent experience.
  • Proficiency in at least two of Python, PyTorch, C++ or CUDA.
  • Publications in top EDA and AI/ML venues.
  • Expertise in EDA areas such as synthesis, physical design, design verification and timing, plus publications or project work applying machine learning or deep learning (supervised, unsupervised, RL, agentic AI) to important problems.
  • Strong self-motivation, creativity, a passion for research, and the ability to work well within a research team.
  • Excellent written and verbal communication, with proven experience presenting technical work (for example academic talks or poster sessions) and explaining complex technical ideas clearly.

Conditions

Base salary depends on your location, experience and the pay of employees in similar roles. The base salary range is 168,000 USD to 264,500 USD.

Applications will be accepted at least until October 31, 2026.

This posting is for an existing vacancy.

The company uses AI tools in its recruiting process.

The company is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic.

Where you’d work

From the office

About the company

NVIDIA

Office in United States

Also hiring in United Kingdom, Seattle, United States, Munich, Germany and 15 more places

236 of their 656 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

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  • Must-haves
Details10 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • PyTorch
  • CUDA
Type
Full-time
Equity
Equity offered
Specialty
Data Science
Region
United States
Pay period
Annual
Show 4 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Tech stack
  • Python
  • PyTorch
  • CUDA

Location

Work model
Office
Region
United States
Office
  • United States

Compensation

Salary
$168,000 - 264,500 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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