Physical Design Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, VLSIIndustries

Requirements

BS in Engineering or Science or equivalent experience
Power user of EDA tools from Synopsys (ICC2/FC/PT/STAR-RC), Cadence (EDI/Innovus/Voltus)
Experience in Clock/Power Distribution, P&R, Timing closure, RC Extraction, and verification on advanced technology nodes
2+ years of experience in above areas

Responsibilities

Participate in various aspects of physical design for NVIDIA GPU and Mobile chips, including full chip floorplanning, power/clock distribution, timing optimization, place & route, timing closure, power/signal integrity analysis, and physical verification
Troubleshoot a wide variety of design and flow complicated issues, and apply proactive intervention
Collaborate with RTL, DFT and Circuit designers to ensure high quality of design implementation

Skills

Key technologies and capabilities for this role

ICC2FCPTSTAR-RCEDIInnovusVoltusClock DistributionPower DistributionPlace & RouteTiming ClosureRC ExtractionPhysical VerificationICVCalibrePerlPythonTCLMakefile

Questions & Answers

Common questions about this position

What experience level is required for the Physical Design Engineer role?

The role requires 2+ years of experience in areas such as Clock/Power Distribution, P&R, Timing closure, RC Extraction, and verification on advanced technology nodes.

What are the key EDA tools I need to be proficient in for this position?

You need to be a power user of EDA tools from Synopsys (ICC2/FC/PT/STAR-RC) and Cadence (EDI/Innovus/Voltus).

What education is required for this Physical Design Engineer job?

A BS in Engineering or Science or equivalent experience is required.

Where is this Physical Design Engineer position located?

The position is with the VLSI Physical Design Team at NVIDIA Shanghai.

What skills would make me stand out for this role?

Ways to stand out include an MS in Engineering or Science, knowledge in FinFET technology, circuit design, and package design, experience with physical verification tools like Synopsys (ICV) or Mentor (Calibre), and proficiency in Perl, Python, TCL, and Makefile scripts.

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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