Formal Verification Engineer - New College Graduate at NVIDIA

Budapest, Hungary

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Technology, Semiconductors, AIIndustries

Requirements

BS/MS/Ph.D. or equivalent experience in CS/CE/EE/Mathematics
Strong analytical and collaboration skills to solve complex problems
Strong coding skills in C, Perl, Python or any other industry-standard scripting languages
Good debugging skills
Excellent communication skills, able to effectively collaborate and work with members of a distributed team
Ways to stand out
Knowledge of formal verification methodologies, techniques and tools like Jasper
Hands-on experience with Verilog / System Verilog HDLs, SVA assertions, and able to understand complex RTL code quickly

Responsibilities

Use formal verification algorithms to formally prove the correctness of complicated logic problems
Identify key behaviors for verification to write clear testplans for complex designs
Implement testplans using innovative formal techniques
Drive tools to realize their best performance
Develop flow and script to automate and improve team efficiency
Collaborate with other teams to help produce bug free, outstanding silicon products

Skills

Key technologies and capabilities for this role

Formal VerificationPythonCPerlVerilogSystemVerilogSVAJasperRTLdebugging

Questions & Answers

Common questions about this position

What compensation and benefits does NVIDIA offer for this role?

NVIDIA offers competitive salaries and a generous benefits package.

Is this Formal Verification Engineer position remote or office-based?

This information is not specified in the job description.

What are the required skills for the Formal Verification Engineer role?

Candidates need a BS/MS/Ph.D. or equivalent in CS/CE/EE/Mathematics, strong analytical and collaboration skills, strong coding skills in C, Perl, Python or similar scripting languages, good debugging skills, and excellent communication skills.

What is the company culture like at NVIDIA for this team?

NVIDIA has a team of extraordinary people around the globe in a progressive, technology-focused environment, with elite engineering teams rapidly growing due to unprecedented growth, valuing diversity and equal opportunity.

What makes a candidate stand out for this Formal Verification Engineer position?

Knowledge of formal verification methodologies, techniques and tools like Jasper, plus hands-on experience with Verilog/System Verilog HDLs, SVA assertions, and understanding complex RTL code quickly, will help candidates stand out.

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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