Full-Time

VLSI Design Automation Software Engineer

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$108k - $201.3kAnnually

+ Equity

Mid

Austin, TX, USA + 1 more

More locations: Westford, MA, USA

Category
Embedded Engineering
Software Engineering
Required Skills
Python
Data Structures & Algorithms
SQL
Perl
C/C++
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
  • 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.
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.

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA differentiates itself from competitors by focusing on advanced technology and continuous innovation, ensuring their products meet the evolving needs of users. The company's goal is to lead in AI and HPC solutions, providing powerful tools and services that enable clients to excel in their respective fields.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

9%

1 year growth

27%

2 year growth

45%
Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's investment in Ayar Labs boosts AI infrastructure scalability and cost-effectiveness.
  • Acquiring VinBrain strengthens NVIDIA's AI capabilities in healthcare and smart city applications.
  • Participation in Nebius Group's financing expands NVIDIA's AI infrastructure across continents.

What critics are saying

  • Increased competition from Ayar Labs challenges NVIDIA's AI hardware market position.
  • VinBrain acquisition may face integration challenges, affecting operational efficiency.
  • Investment in Nebius Group could lead to internal competition for AI infrastructure resources.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU and SoC technologies.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's cloud services, like CloudXR, enhance scalable AI and machine learning applications.

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