AI Insights
NVIDIA

CAD Engineer - New College Grad 2026

NVIDIA · Santa Clara, California, US
full-timejunior (0-2 yrs)Posted 26d ago
Software EngineeringIC1ICOn-site
StackPythonPerlVLSI CADEDA flowsPackaging dataSQL/DatabasesWeb frameworksCI/CD pipelinesObservability toolsAutomation scriptingLinux

Summary

Entry-level CAD Engineer role at NVIDIA's Advanced Technology Group focused on building and maintaining EDA/VLSI flows, automation, and web infrastructure supporting AI, HPC, automotive, and graphics chip design pipelines.

About the role

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can seek, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today.

Join NVIDIA’s Advanced Technology Group—a fast paced team that crafts the next generation of process technologies for AI, HPC, automotive, and graphics. In this role, you will help contribute to flows and manage systems dealing with a range of data from packaging to VLSI library views to help streamline and improve productivity.

What you'll be doing:

  • Collaborate across internal library, packaging and design teams to implement flows to boost data setup, management and delivery

  • Support engineers from multiple teams to translate asks, implement solutions and debug issues

  • Work closely with team members to support existing infrastructure, identify possible improvements and solutions

  • Set up and maintain automation using Python and Perl, integrating with multiple databases.

  • Maintain internal web applications while implementing incremental feature improvements and performance optimizations.

  • Work with CI/CD pipelines, build and deployment tools, observability tools and more to deliver robust solutions

What we need to see:

  • Pursuing or recently completed a B.S or M.S. in Electrical Engineering, Computer Science or related field, or equivalent experience.

  • Familiarity with VLSI CAD concepts or packaging data/flows

  • Excellent programming skills in Python and/or Perl

  • Experience with databases and web frameworks is a way to stand out

  • Strong communicator who thrives in a collaborative, fast-paced environment

  • Quick learner, highly motivated and good interpersonal skills

NVIDIA is widely considered to be one of the technology world’s most desirable employers. It’s not just technology though! It is our people – the brightest, most forward-thinking, and hardworking around – and diverse culture that make NVIDIA one of the most fun, innovative and multifaceted places to work in the world! At the center of NVIDIA's culture are our core values – like innovation, excellence and determination, and one team - that guide us to be the best we can be.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 27, 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 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

1Collaborate across internal library, packaging, and design teams to implement flows for data setup, management, and delivery
2Support engineers from multiple teams to translate requirements, implement solutions, and debug issues
3Set up and maintain automation using Python and Perl, integrated with multiple databases
4Maintain internal web applications with incremental feature improvements and performance optimizations
5Work with CI/CD pipelines, build/deployment tools, and observability tools to deliver robust solutions
6Identify possible improvements and solutions to existing infrastructure

Requirements

Pursuing or recently completed B.S./M.S. in EE, CS, or related field with strong programming skills in Python and/or Perl
Familiarity with VLSI CAD concepts or semiconductor packaging data and flows
Ability to set up and maintain automation scripts integrated with multiple databases
Strong collaboration and communication skills to support engineers across multiple teams and translate requirements into solutions

Nice to have

Database design and querying
Web framework development (e.g. Django, Flask)
CI/CD pipeline experience
Observability and monitoring tooling
Perl scripting

Role overview

Role family
Software Engineering
Level
IC1 — platform
Experience
0–2 years
Type
Individual Contributor
Remote policy
On-site
Visa sponsorship
Not offered

Tech stack analysis

LANGUAGES
PythonPerl
FRAMEWORKS
Web frameworks (unspecified, e.g. Django/Flask)
DATABASES
Multiple internal databases (unspecified)
INFRASTRUCTURE
CI/CD pipelinesBuild and deployment toolsObservability tools
TOOLS
EDA toolchainVLSI CAD toolsPackaging data flows

Green flags

6 items
Salary range explicitly disclosed with two level bands ($100K–$166.75K for L1; $116K–$189.75K for L2) plus equity — highly transparent for a new grad role.compensation

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Benefits breakdown

HEALTH & WELLNESS
Health benefits (implied by 'benefits' mention; specific plan not detailed)

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Hiring insights

JD quality
7/10
Urgency
medium
Autonomy
medium
Team size
medium (5-15)

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Red flags

PRO4 items
VLSI CAD familiarity is listed as a requirement for a new grad role — a niche domain that significantly narrows the candidate pool and may disadvantage non-EE graduates.requirements

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Interview insights

PRO
Rounds
4
Duration
3 wks
Difficulty
hard
Take-home
No

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Career path

PRO
Next roles
CAD Engineer IISenior CAD EngineerEDA Infrastructure Engineer

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About the company

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.

HQSanta Clara, CA, USA
Interview difficultyhard
Build vs Maintainboth
Cross-functionalYes