Full-Time

VLSI Design Automation Software Engineer

Posted on 4/4/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$108k - $212.8k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Westford, MA, USA

In Person

Category
Software Engineering (1)
Required Skills
Python
Linux/Unix
Requirements
  • Bachelor’s degree in computer science/engineering or equivalent experience
  • Minimum 3 years' experience with VLSI Design Automation
  • Strong proficiency with Unix
  • Proven experience in at least two programming languages, including Python, and scripting
  • Good debugging and problem-solving skills
  • Strong interpersonal skills along with the ability to work in a diverse team
Responsibilities
  • Oversee and optimize compute and storage resources, ensuring operational efficiency and success of VLSI projects
  • Develop and maintain scripts and automation tools to streamline infrastructure tasks
  • Design, implement, and maintain dashboards for monitoring and reporting on infrastructure performance and usage
  • Work closely with a remote team in Israel, ensuring smooth communication and coordination on infrastructure-related tasks
  • Engage in the entire lifecycle of infrastructure tool development, including design, testing, deployment, and maintenance
  • Collaborate with other team members and DA teams to implement innovative software solutions and practices
Desired Qualifications
  • Basic understanding of data structures and algorithms, specifically those related to Graph Theory
  • Experience with SQL and LSB scheduler
  • Experience with GUI and Unix/web application development
  • Familiarity with programming languages such as C++, Tcl, Python, or other scripting languages like Perl and Shell

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

  • Rubin production enables early design wins for agentic AI workloads.
  • $30 billion cloud agreements provide visibility for future AI infrastructure demand.
  • Robotics partnerships with Kawasaki Heavy extend NVIDIA into physical AI.

What critics are saying

  • Huawei has taken most China AI demand after export controls tightened.
  • AMD and Intel pressure NVIDIA if Vera CPU misses inference-server adoption.
  • Private equity stakes expose earnings to startup write-downs and mark-to-market losses.

What makes NVIDIA unique

  • NVIDIA dominates discrete GPUs, holding 92% market share in 2025.
  • CUDA and full-stack AI software lock developers into NVIDIA’s ecosystem.
  • Blackwell and Vera Rubin integrate chips, networking, and CPU systems.

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Company Equity

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Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-3%

2 year growth

-2%
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