Verification Engineer - New College Grad 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorIndustries

Requirements

Master’s degree in Electrical Engineering, Computer Engineering, or related field
Strong understanding of digital design fundamentals
Proficiency in SystemVerilog for verification
Solid programming/scripting skills (e.g., Python, C++)
Knowledge of hardware verification methodologies, especially UVM
Exposure to formal verification tools
Good communication skills in English, both written and spoken
Strong problem-solving skills, self-motivated, and eager to learn

Responsibilities

Participate in verification of multimedia IP at unit or SoC level
Develop test plans, create testbenches, and write test cases using SystemVerilog/C++/Python
Apply simulation-based or formal verification methodologies to ensure design correctness
Write and maintain verification scripts to automate test execution and regression
Debug failures, analyze coverage, and work closely with designers to resolve issues
Contribute to continuous improvement of verification methodologies and flow

Skills

Key technologies and capabilities for this role

SystemVerilogC++PythonUVMFormal VerificationDigital DesignTestbenchesCoverage Analysis

Questions & Answers

Common questions about this position

What degree is required for this Verification Engineer position?

A Master’s degree in Electrical Engineering, Computer Engineering, or related field is required.

What are the key technical skills needed for this role?

Proficiency in SystemVerilog for verification, solid programming/scripting skills in Python and C++, knowledge of hardware verification methodologies like UVM, and exposure to formal verification tools are required.

What does a typical day look like for this position?

You'll participate in verification of multimedia IP at unit or SoC level, develop test plans and testbenches using SystemVerilog/C++/Python, apply verification methodologies, write automation scripts, debug failures, analyze coverage, and collaborate with designers.

What soft skills are important for this role?

Good communication skills in English (written and spoken), strong problem-solving skills, self-motivation, and eagerness to learn are essential.

Is the salary or compensation mentioned for this position?

This information is not specified in the job description.

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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