VLSI Design Automation Software Engineer 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

Semiconductors, TechnologyIndustries

Requirements

Bachelor’s degree in computer science/engineering, electrical engineering, or equivalent experience
3+ years of experience in VLSI Design Automation
Strong knowledge of Python
Experience with data visualization in Python
Knowledge in LSF job scheduler
Proficiency with the Linux operating system
Ways to stand out (preferred)
Knowledge in VLSI flows
Familiarity with database management systems, both SQL (e.g., PostgreSQL, MySQL) and NoSQL
Experience with data analysis tools and libraries (e.g., pandas, NumPy)
Prior experience with machine learning techniques and frameworks
Familiarity with CI/CD practices and tools

Responsibilities

Oversee and optimize compute and storage resources, ensuring operational efficiency and success of VLSI projects
Develop and maintain scripts and automation tools to streamline infrastructure tasks
Engaging in the entire lifecycle of tool and web application development, which includes backend, frontend, data storage design, UI/UX design, testing, deployment, and maintenance
Design, implement, and maintain dashboards for monitoring and reporting on infrastructure performance and usage
Challenge existing VLSI methodologies to have better tools and flows

Skills

Python

LSF

Linux

pandas

NumPy

PostgreSQL

MySQL

NoSQL

CI/CD

VLSI flows

data visualization

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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