Software Engineer, Chip Design at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Chip DesignIndustries

Requirements

Computer Science / Computer Engineering degree
Motivated, responsive, and keen on process improvement
2–5 years of software development experience
Python Proficiency: Strong command of Python for scripting, complex automation, and tool development
System Design: Ability to visualize software dependencies and design modular, scalable integration architectures
Development Lifecycle: Familiarity with git (or other SCM), branching strategies, and release methodologies

Responsibilities

Own the Integration Framework: Architect and maintain the Python-based framework connecting our CAD tools to the internal ecosystem, driving a code-first approach to automate delivery pipelines and integration events
Cross-Team Compatibility: Collaborate with other engineering groups to design resilient interfaces, ensuring our tools remain compatible with the broader ecosystem as we release new features
Continuous Improvement: Proactively identify friction points in our current processes and implement software solutions to resolve them

Skills

Key technologies and capabilities for this role

PythonGitSystem DesignLinuxC++APIsMiddlewareEDACADSCM

Questions & Answers

Common questions about this position

What experience level is required for this Software Engineer role?

The role requires 2–5 years of software development experience, along with a Computer Science or Computer Engineering degree.

What are the key required skills for this position?

Key skills include strong command of Python for scripting and automation, ability to design modular scalable integration architectures, and familiarity with git, branching strategies, and release methodologies.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Candidates stand out with knowledge of Linux, experience in DA/CAD teams, understanding of Chip Design and EDA, C++ experience, and building APIs or middleware for tool communication.

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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