Senior Chip Design Tools Software Developer – CAD 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, Technology, AIIndustries

Requirements

B.Sc. or M.Sc. in Computer Science, Computer Engineering, or Electrical Engineering
Total of 5+ years of experience; 3+ years of experience developing software tools for chip design/verification and 2+ years of hands-on experience in chip design or verification
Proficiency in software engineering, with strong debugging and system design skills
Strong communication skills and a proactive approach to working with users and cross-functional teams

Responsibilities

Develop software tools for NVIDIA’s chip design and verification flows
Collaborate closely with designers and verification engineers to identify bottlenecks, propose improvements, and build software solutions that boost productivity and quality
Own your solutions end-to-end — from idea to delivery to support

Skills

Key technologies and capabilities for this role

Chip DesignVerificationSoftware ToolsDebuggingSystem DesignAutomationCADEDA

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A B.Sc. or M.Sc. in Computer Science, Computer Engineering, or Electrical Engineering is required, along with 5+ years of total experience including 3+ years developing software tools for chip design/verification and 2+ years hands-on in chip design or verification.

What key skills are needed for this position?

Proficiency in software engineering with strong debugging and system design skills, plus strong communication skills and a proactive approach to working with users and cross-functional teams are required.

Is this a remote position, or where is it located?

This information is not specified in the job description.

What is the salary for this role?

This information is not specified in the job description.

What makes a candidate stand out for this position?

Candidates stand out with proven ability to identify gaps in design/verification workflows and deliver impactful improvements, experience leading cross-team discussions, passion for user-focused tools, initiative in ambiguous environments, and proficiency in Python.

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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