Senior Library Design 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, TechnologyIndustries

Requirements

B.S or M.S. in Electrical Engineering or equivalent experience
5+ years industry experience
An understanding of transistor device behavior, layout dependent device behavior, aging and self-heating effects on advanced FinFET and GAA process nodes
Strong background in Standard cell design and layout on advanced process nodes
Hands-on experience with standard cell timing, power, statistical characterization and modeling. Familiar with advanced variation modeling techniques
Strong experience with gate level spice simulations, variation analysis and parasitic extractions
Experience with industry standard layout/schematic editor, physical verification, timing characterization and parasitic extraction tools
Excellent programming skills
Scripting experience with Perl/Python. Layout automation with Cadence Skill is an additional advantage
Familiarity with debugging timing reports
Great interpersonal skills
A passion for working closely with foundry partners and providing excellent support for end-users

Responsibilities

Characterize standard cell libraries for advanced process technologies
Develop and support extraction environments for standard cell characterization
Develop flows to generate standard cell IR and thermal views
Analyze tradeoffs between different standard cell architectures
Collaborating with cross functional teams to drive PPA targets and provide guidance
Analyzing foundry device models & layout dependent effects, collaborate with device group for spice to silicon correlation
Automate characterization flows, model evaluation and publishing process to improve efficiency
Validate aging and self-heating effects of device models

Skills

Standard Cell Characterization

Static Timing Analysis

SPICE Simulation

Library Extraction

Device Modeling

Layout Dependent Effects

IR Drop Analysis

Thermal Analysis

PPA Optimization

Automation Scripting

Transistor Physics

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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