VLSI CAD Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Technology, Artificial IntelligenceIndustries

Requirements

MS in Computer Science/Engineering, Electrical Engineering or equivalent experience
Minimum of 5+ years of CAD flow developments and design methodology in VLSI
Good programming skills in multiple languages (Bash, TCL, Python, Perl, Makefile)
Prior experience with development, testing and deployment of EDA tools
Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team

Responsibilities

Developing scalable CAD solutions for a dynamic roadmap
Employ good software engineering practices to develop efficient EDA/CAD tools for chip development
Build flows and methodology around vendor EDA tools to streamline circuit design and verification workflows
Support circuit design engineers to automate design tasks
Work closely with design and CAD engineers to support the existing development infrastructure, identify improvements and solutions
Collaborate with multiple teams across geographies: circuit design, layout, technology teams, and 3rd party EDA tool vendors

Skills

Key technologies and capabilities for this role

PythonPerlTCLBashMakefileHSPICEPrimeSim-XEDAVLSI CADCircuit Design

Questions & Answers

Common questions about this position

What is the salary range for this VLSI CAD Engineer position?

The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered for this role?

You will be eligible for equity and benefits in addition to base salary.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What skills are required for the VLSI CAD Engineer role?

Required qualifications include an MS in Computer Science/Engineering, Electrical Engineering or equivalent, minimum 5+ years of CAD flow developments and design methodology in VLSI, good programming skills in Bash, TCL, Python, Perl, Makefile, and prior experience with development, testing, and deployment of EDA tools.

What makes a candidate stand out for this position?

Candidates stand out with experience working with industry standard EDA tools like HSPICE, PrimeSim-XA, ESP, NanoTime/PrimeTime, Totem/SeaHawk, knowledge of DC/Transient, Cross corner PVT and Monte Carlo simulations, previous work in VLSI, ASIC, or EDA, ability to use the latest AI tools to improve design productivity, and experience in evaluating CAD products and driving EDA vendors.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

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 products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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