RTL Design Engineer, DFT at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

B.Sc. in Electrical Engineering or Computer Engineering or equivalent experience
1+ years of practical experience
Exposure to RTL implementation and coding
Familiarity with verification tools
Strong debugging, problem solving and analytical skills
Strong communication and social skills
Ability to work in a geographically diverse team environment
Self-motivated, independent and target-oriented

Responsibilities

Defining, coding and integrating sophisticated DFT components into various projects using state-of-the-art technologies
Participating in defining various DFT features and improvements
Writing micro-architecture documents
Coding design blocks
Integrating design blocks into various projects
Bringing designs to silicon tape-out and silicon testing and production
Collaborating strongly with architects, other design teams, verification, back-end and production testing to accomplish tasks

Skills

Key technologies and capabilities for this role

RTLDFTASIC DesignVerificationDebuggingMicro-architectureSilicon Tape-outIntegration

Questions & Answers

Common questions about this position

What education and experience are required for the RTL Design Engineer, DFT role?

A B.Sc. in Electrical Engineering or Computer Engineering or equivalent experience is required, along with 1+ years of practical experience, exposure to RTL implementation and coding, and familiarity with verification tools.

What soft skills are needed for this position?

Strong debugging, problem solving, analytical skills, strong communication and social skills, and the ability to work in a geographically diverse team environment are required. Self-motivation, independence, and being target-oriented are also essential.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the compensation or salary for this role?

This information is not specified in the job description.

What experience makes a candidate stand out for this DFT design role?

Prior design or verification experience, experience developing sophisticated design blocks, integration of design elements to large cluster or full-chip, experience working with back-end on area, power and timing closures, and scripting ability will help you 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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