Full-Time

Software Engineer – New College Grad 2026

CAD Automation

Posted on 2/21/2026

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$116k - $189.8k/yr

+ Equity

Company Historically Provides H1B Sponsorship

California, USA + 2 more

More locations: Santa Clara, CA, USA | United States

Hybrid

Category
Software Engineering (1)
Required Skills
CAD
Python
C/C++
Requirements
  • MS or PhD in Computer Science/Engineering (or equivalent experience)
  • Proven knowledge in VLSI CAD flows and methodology
  • Experience and background in VLSI
  • Strong programming skills in multiple languages (C++, Tcl, Python, Makefile or other scripting languages)
  • Good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed
Responsibilities
  • Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data
  • Support circuit design engineers to automate typical design tasks and improve efficiency
  • Build flows and methodology around vendor EDA tool and design collaterals to streamline design and verification workflows
  • Work closely with design engineers to support the existing development infrastructure, identify possible improvements and solutions
  • Employ good software engineering practices to develop complex and scalable systems
Desired Qualifications
  • Experience with design collaterals such as .v, .gv, .lib, gds, etc.
  • Enjoy working with multiple levels and teams across organizations
  • Proven technical presentation skills

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Hyperscaler AI capex supports sustained demand for data-center accelerators.
  • Inference growth expands revenue beyond frontier model training.
  • Robotics, automotive, and edge AI open additional GPU-adjacent markets.

What critics are saying

  • Custom ASICs from major cloud customers erode GPU share and pricing.
  • China export restrictions shrink addressable revenue and force product redesigns.
  • Taiwan supply-chain concentration exposes production to geopolitics and foundry disruptions.

What makes NVIDIA unique

  • CUDA and the software ecosystem create sticky developer lock-in.
  • Blackwell and Hopper GPUs anchor leadership in AI training and inference.
  • Full-stack AI infrastructure spans chips, systems, networking, and software.

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Benefits

Company Equity

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Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-2%

2 year growth

-1%
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