Senior Clock Verification Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Technology, NetworkingIndustries

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field (or equivalent experience)
5+ years of proven experience in SOC verification
Proficiency in verification methodologies, including crafting reusable verification components
Knowledgeable in verification using random stimulus, functional coverage, and assertion-based verification methodologies
Proficiency in Object-Oriented Programming with SystemVerilog
Proficiency in UVM methodology
A passion for debugging and outstanding problem-solving skills
Strong communication skills

Responsibilities

Technically lead a team of engineers and be responsible for verifying design, architecture, and micro-architecture using advanced verification methodologies
Define the verification scope and contribute to the development of the verification infrastructure for SOC clock networks
Verify firmware code, with a specific focus on hardware/firmware interactions

Skills

Key technologies and capabilities for this role

SOC VerificationClock VerificationVerification InfrastructureFirmware VerificationHardware Firmware InteractionsMicro-architecture VerificationAdvanced Verification Methodologies

Questions & Answers

Common questions about this position

What is the salary for the Senior Clock Verification Engineer position?

This information is not specified in the job description.

Is this a remote position or what is the location requirement?

This information is not specified in the job description.

What skills are required for this Senior Clock Verification Engineer role?

Required skills include 5+ years of SOC verification experience, proficiency in verification methodologies like random stimulus, functional coverage, and assertions, proficiency in SystemVerilog OOP and UVM, plus strong debugging, problem-solving, and communication skills.

What is the company culture like at NVIDIA?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, fueled by innovation, great technology, and amazing people working on world-class teams.

What makes a candidate stand out for this position?

Candidates stand out with technical leadership experience, prior verification experience in clock networks, experience debugging embedded boot and reset sequences, writing verification plans, and a strong focus on verification and intuition.

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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