Senior ASIC Engineer - Networking Chip Design at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, NetworkingIndustries

Requirements

Electrical Engineering B.Sc. or Computer Engineering B.Sc. graduate with high scores or equivalent experience
3+ years of experience in ASIC frontend workflows or full chip related works
A team player with good communication and interpersonal skills
Previous experience in full chip integration in complex chips – an advantage

Responsibilities

Understand the Switch architecture and data flows
Work in a combined design and verification team specializing in Switch Fullchip works, like assembly, integrations plus a series of QAs to ensure quality
Refine the full Chip working flow to improve the entire team's efficiency
Work closely with multiple teams within organizations such as Architecture, Micro-Architecture, and FW to deliver the FC model for project milestones

Skills

Key technologies and capabilities for this role

ASICChip DesignFrontend WorkflowsFull Chip IntegrationSwitch ArchitectureRTLVerificationSystemVerilog

Questions & Answers

Common questions about this position

What education is required for the Senior ASIC Engineer role?

A B.Sc. in Electrical Engineering or Computer Engineering with high scores, or equivalent experience, is required.

What experience is needed for this position?

Candidates need 3+ years of experience in ASIC frontend workflows or full chip related works, with previous experience in full chip integration in complex chips being an advantage.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of team and culture will I be joining at NVIDIA?

You'll join a group of passionate engineers in the Switch Silicon group within NVIDIA's Networking business unit, working in a dynamic, technology-focused company with forward-thinking and hardworking people. The role involves working closely with multiple teams such as Architecture, Micro-Architecture, and FW, and requires being a team player 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.

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