Senior VLSI Physical Verification Methodology Engineer at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, TechnologyIndustries

Requirements

  • BS/MS in Electrical Engineering or related field (or equivalent experience)
  • Minimum 4+ years of physical implementation experience with 2+ years in physical verification
  • Familiar with aspects of chip design including Floor planning, Clock and Power distribution, Place and Route, Integration and Verification
  • Strong knowledge and experience with Physical Verification debug of shorts/compare results across DRC/LVS/Antenna related issues in both PV signoff tools as well as EDA implementation tools (ICC2/Innovus/other)
  • Direct experience with ICV and Calibre runsets for physical verification of DRC/LVS/Antenna
  • Proficient in writing DRC/LVS rules, including advanced checks tailored to specific design requirements for ICV and CALIBRE tools
  • Good scripting and programming skills in Python/Perl or other related automation languages

Responsibilities

  • Developing physical verification methodologies for implementation of graphics processors and SOCs
  • Participate in developing physical verification flows for new technologies - DRC, LVS, Antenna flows - improving automation and expert workflows
  • Work with design teams to improve overall DRC feedback and correlation improvement

Skills

DRC
LVS
Antenna
ICV
Calibre
ICC2
Innovus
Python
Perl
Floorplanning
Place and Route
Clock Distribution
Power Distribution

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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