Senior Design Automation Engineer - Chip Design 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, TechnologyIndustries

Requirements

B.Sc. or M.Sc. in Electrical Engineering or Computer Engineering (or related field)
5+ years of experience in Design Verification/Chip Design, with a deep understanding of simulation, testbenches, regression infrastructure, and debug
Proven ability to identify inefficiencies or recurring issues in DV workflows and develop automation scripts or tools to streamline processes and improve efficiency
Strong analytical thinking and problem-solving skills
Proficiency in Python and Linux
Excellent communication and collaboration skills — comfortable working across engineering teams

Responsibilities

Lead the development of advanced verification automation tools, regression flows, and debug infrastructure
Identify key challenges and inefficiencies in current DV methodologies and proactively propose and implement improvements
Work closely with DV engineers, design teams, and tool developers to ensure solutions are practical and impactful
Balance innovation with hands-on engagement in daily DV issues — keeping a strong connection to real-world challenges and support needs
Act as a technical leader within the team, driving discussions, mentoring peers, and crafting strategic directions for DV automation

Skills

Design Verification

Chip Design

Python

Linux

simulation

testbenches

regression infrastructure

debug

automation scripts

ASIC

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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