Chip Design Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

Apply Now

Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Networking, TechnologyIndustries

Requirements

Electrical Engineering B.Sc., Computer Engineering or other relevant engineering department graduate, or equivalent experience
2+ years of experience in RTL verification
Self-motivated, ability to work independently and drive tasks to completion
A team player with good communication and interpersonal skills

Responsibilities

Work in a combined design and verification team that develops front-end design for the Switch silicon GPU and HCA
Chip level integrations and connectivity
Work closely with multiple teams within organizations such as Architecture, Micro-Architecture, and FW
Interaction with organization-wide groups

Skills

Key technologies and capabilities for this role

RTL verificationVerilogSpecmanNetworkingChip DesignSilicon EngineeringFront-end DesignChip Integration

Questions & Answers

Common questions about this position

What education and experience are required for the Chip Design Engineer role?

Candidates need an Electrical Engineering B.Sc., Computer Engineering or other relevant engineering degree, or equivalent experience, plus 2+ years of experience in RTL verification.

What are the key responsibilities for this position?

The role involves working in a combined design and verification team developing front-end design for Switch silicon GPU and HCA, handling chip level integrations and connectivity, and collaborating with teams like Architecture, Micro-Architecture, and FW.

What skills will help me stand out as a candidate?

Knowledge in Specman, Verilog, and a background in Networking are ways to stand out from the crowd.

What is the work environment like at NVIDIA for this team?

You'll work in a meaningful, growing, and highly professional environment with a combined design and verification team, interacting with organization-wide groups in a technology-focused company.

What personal qualities are NVIDIA looking for in candidates?

NVIDIA seeks self-motivated individuals who can work independently, drive tasks to completion, and are team players with good communication and interpersonal skills.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free