Senior Chip Design 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

Semiconductor, NetworkingIndustries

Requirements

Electrical Engineering B.Sc. or Computer Engineering B.Sc. graduate with high scores or equivalent experience
5+ years of experience in chip design
Knowledge in network protocols and/or HPC and distributed calculations (advantage)
A team player with good communication and interpersonal skills
Creative and autonomous
Passion for crafting the highest performance & lowest power silicon

Responsibilities

Work in a design/verification team which develops core units within the Switch silicon as a dynamic verification or RTL design engineer
Build reference models, verify and simulate chip blocks/entities according to specifications under challenging constraints with high orientation to power, area, and performance
Design RTL of units/blocks according to Arch. specifications under challenging constraints with high orientation to power, area, and performance
RTL synthesis, timing, supporting verification, and silicon post TO activities
Work closely with multiple teams within organizations such as Architecture, u-arch, Full chip Micro-Architecture, BE, and FW

Skills

Key technologies and capabilities for this role

RTL DesignChip VerificationRTL SynthesisTiming AnalysisReference ModelsNetwork ProtocolsHPC

Questions & Answers

Common questions about this position

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

Candidates need an Electrical Engineering B.Sc. or Computer Engineering B.Sc. with high scores or equivalent experience, plus 5+ years of experience in chip design. Knowledge in network protocols and/or HPC and distributed calculations is an advantage, along with being a team player with good communication and interpersonal skills.

What does a Senior Chip Design Engineer do at NVIDIA?

You'll work in a design/verification team developing core units within Switch silicon, building reference models, verifying and simulating chip blocks, designing RTL units/blocks, performing RTL synthesis and timing, and collaborating with teams like Architecture and Full chip Micro-Architecture.

What is the compensation or salary 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 kind of company culture can I expect at NVIDIA's Switch Silicon team?

NVIDIA has forward-thinking and hardworking people, fostering a dynamic, technology-focused environment where creative and autonomous team players thrive while tackling challenges in high-performance, low-power silicon design.

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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