Physical Design Engineer at NVIDIA

Hsinchu City, Hsinchu City, Taiwan

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 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/DC/PT/STAR-RC), Cadence (EDI/Innovus/Voltus) or Ansys (Redhawk)
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, 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

ICC2DCPTSTAR-RCEDIInnovusVoltusRedhawkICVCalibreFloorplanningClock DistributionPower DistributionPlace & RouteTiming ClosureRC ExtractionPhysical VerificationFinFETPerlPythonTCLMakefile

Questions & Answers

Common questions about this position

What is the location for this Physical Design Engineer role?

The position is based in the Hsinchu office, Taiwan.

What salary or compensation does this role offer?

This information is not specified in the job description.

What skills are required for the Physical Design Engineer position?

Candidates need a BS in Engineering or Science or equivalent, power user experience with EDA tools from Synopsys (ICC2/DC/PT/STAR-RC), Cadence (EDI/Innovus/Voltus) or Ansys (Redhawk), and 2+ years in clock/power distribution, P&R, timing closure, RC extraction, and verification on advanced nodes.

What does the company culture or work environment look like for this role?

The team works on challenging designs for NVIDIA GPU and Mobile chips, utilizing latest process technology, advanced EDA tools, and sophisticated methodology while pushing performance limits.

What makes a candidate stand out for this Physical Design Engineer job?

Stand out with an MS in Engineering or Science, knowledge in FinFET technology, circuit design, and package design, experience in physical verification tools from 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.

Land your dream remote job 3x faster with AI

Try Jobo Free