ASIC Verification Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, TechnologyIndustries

Requirements

BS with 3+ years of experience or MS with 3+ years of working experience
Self-driving, active thinking and problem solving
Solid IC background
Experienced with System Verilog and UVM methodology
Familiar with perl or python script
Familiar with C/C++ coding
Ways to stand out (preferred)
Have the experience of building a complex TB from scratch
Good at solving environment issues (e.g., setting up Makefile, solving VCS issue, or solving issues brought by tool updates)
Good communication skills; state problem clearly
Excellent oral and written English

Responsibilities

Co-work with the IP architect and designer to define the IP verification methodology and test plan
Finish the IP verification for all new coming features from project to project
Maintain and improve the SV based unit-level TB to be more powerful and efficient
Maintain the regression and run various sign-off verification checklists
Learn and practice formal verification, and use formal tool to assist simulation to raise the verification quality

Skills

SystemVerilog

UVM

Perl

Python

C++

RISC-V

Formal Verification

VCS

Makefile

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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