Chip Design Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Networking, TechnologyIndustries

Requirements

B.Sc. in Electrical Engineering or Computer Engineering with high scores or equivalent experience
1+ years of experience in RTL design and/or dynamic verification
Completion of programming and logic design courses
Great teammate with good communication and interpersonal skills

Responsibilities

Work in a combined design and verification team which develops some of the switch silicon core units
Micro-architecture for RTL and simulation environment planning for units and modules
Design/Verify RTL units/blocks according to Arch. specifications under challenging constraints with high orientation to power, area, and performance
Build reference models, verify, and simulate chip blocks/entities according to specifications
RTL synthesis, timing, supporting verification, and silicon post TO activities
Work closely with multiple teams within organizations such as Architecture, Full chip Micro-Architecture, BE, and FW

Skills

Key technologies and capabilities for this role

RTL DesignRTL VerificationMicro-architectureRTL SynthesisTiming AnalysisLogic DesignSimulationReference Models

Questions & Answers

Common questions about this position

What education and experience are required for the Chip Design Engineer role?

A B.Sc. in Electrical Engineering or Computer Engineering with high scores or equivalent experience is required, along with 1+ years of experience in RTL design and/or dynamic verification, and completion of programming and logic design courses.

What are the main responsibilities of a Chip Design Engineer on the Switch Silicon team?

Responsibilities include micro-architecture for RTL and simulation environment planning, designing/verifying RTL units/blocks, building reference models, RTL synthesis, timing, and working closely with teams like Architecture and Full chip Micro-Architecture.

What is the salary or compensation for this position?

This information is not specified in the job description.

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

This information is not specified in the job description.

What does NVIDIA look for in a strong candidate for this role?

NVIDIA seeks creative and autonomous candidates who love the challenge of crafting the highest performance and lowest power silicon, along with being a great teammate with good communication and interpersonal skills.

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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