Senior Circuit Verification 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, Artificial Intelligence, GraphicsIndustries

Requirements

BSEE (or equivalent experience)/MS preferred in Electrical or Computer Engineering with 8+ years of experience
Strong understanding of deep submicron circuit design techniques
Proficiency with industry verification tools such as ESP-CV, Conformal-LEC, Insight-ERC, etc
Familiarity/experience with digital logic and SRAM design (decoders, dynamic logic, sense amps)
Valuing verification as a comprehensive and intricate design task instead of a checklist procedural routine

Responsibilities

Participate in innovative processor design in deep submicron technologies
Collaborate as part of a custom RAM design team to support verification of innovative circuits
Support designer efforts in running formal verification, electronic rule checking, and other verification flows
Study and investigate RAM innovations and develop methodologies and testbenches to ensure circuit robustness for high yielding silicon products
Engaging with industry tool AEs to qualify new tool releases, learn about new tool features, act as a liaison representing the design team's needs

Skills

Key technologies and capabilities for this role

Circuit VerificationRAM DesignFormal VerificationElectronic Rule CheckingTestbenchesDeep Submicron Circuit DesignProcessor Design

Questions & Answers

Common questions about this position

What is the base salary range for this Senior Circuit Verification Engineer position?

The base salary range is 168,000 USD - 264,500 USD, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered for this role?

You will be eligible for equity and benefits.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What key skills and experience are required for this role?

Required qualifications include a BSEE (or equivalent)/MS preferred in Electrical or Computer Engineering with 8+ years of experience, strong understanding of deep submicron circuit design techniques, proficiency with industry verification tools such as ESP-CV, Conformal-LEC, Insight-ERC, and familiarity with digital logic and SRAM design.

What is the company culture like at NVIDIA?

NVIDIA thrives on collective innovation with diverse perspectives driving breakthrough solutions, values collaboration among brilliant minds from all backgrounds, and fosters a dynamic, growing team environment.

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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