Senior VLSI Integration 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

SemiconductorIndustries

Requirements

B.SC./M.SC. in Electrical Engineering/Computer Engineering
7+ years of actual design experience in chip design
Solid hands-on RTL design skills in System-Verilog
Proficiency in at least one scripting language (e.g., Python, Bash, TCL)
Ability to work effectively as a team member
Strong background in RTL design
Passion for methodologies and automation solutions within SOC creation

Responsibilities

Implement chip-level design through collaboration with cross-functional teams (Functional Design, DFT, Design Verification, System Verification, STA, and Physical Design)
Address a variety of functional and structural challenges, including functional debug, physical design readiness, emulation, and resolution of design quality issues
Participate in daily work involving aspects of chip-level design, such as partitioning, CDC, RDC, trial synthesis, and design quality checks
Take part in flows development and deployment

Skills

Key technologies and capabilities for this role

SystemVerilogRTLPythonBashTCLCDCRDCPartitioningSynthesisDFTSTAPhysical Design

Questions & Answers

Common questions about this position

What is the work arrangement for this position?

The position is hybrid, requiring a mix of remote and on-site work.

What is the salary for this Senior VLSI Integration Engineer role?

This information is not specified in the job description.

What skills are required for this role?

Candidates need 7+ years of chip design experience, solid hands-on RTL design skills in System-Verilog, proficiency in at least one scripting language like Python, Bash, or TCL, and the ability to work effectively in a team.

What is the company culture like at NVIDIA for this role?

NVIDIA features forward-thinking people, seeks creative and autonomous engineers who enjoy challenges, and offers opportunities to grow within the industry in a hybrid environment.

What makes a strong candidate for this position?

A strong candidate has a B.SC./M.SC. in Electrical Engineering/Computer Engineering, 7+ years of chip design experience, strong RTL design skills in System-Verilog, scripting proficiency, and effective teamwork abilities, along with a passion for methodologies and automation in SOC creation.

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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