Senior Physical Design Engineer at NVIDIA

Hsinchu City, Hsinchu City, Taiwan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

BSEE / MSEE or equivalent experience
Minimum 5+ years of experience in VLSI physical design implementation on 16nm, 7nm, 5nm or 3nm technology
Able to assist in design flow development and debugging
Validated strong power user of P&R, Timing analysis, Physical Verification and IR Drop Analysis CAD tools from Synopsys (ICC2/DC/PT/STAR/ICV), Cadence (Genus/Innovus/Tempus) and other major EDA companies
Strong analytical and debugging skills
Proficiency using Python, Perl, Tcl, Make scripting is desired

Responsibilities

Floor Planning and Place and route (P&R) of High-performance chip partitions
Integration on Analog IO’s and macros
Power grid planning, Clock tree Synthesis (CTS) and timing closure
Multi mode and multi corner timing closure, RC extraction, Cross talk, IR drop and EM analysis
Work with the Front-end teams to update and create timing constraints
Debugging timing violations and rolling in functional, Timing ECO’s and netlist formal verification
Physical verification including ERC, DRC, LVS etc

Skills

Key technologies and capabilities for this role

Floor PlanningPlace and RouteClock Tree SynthesisTiming ClosurePower Grid PlanningRC ExtractionIR Drop AnalysisEM AnalysisPhysical VerificationDRCLVSICC2Innovus GenusTempusPythonPerlTclRTL2GDS

Questions & Answers

Common questions about this position

What experience level is required for this Senior Physical Design Engineer role?

Minimum 5+ years of experience in VLSI physical design implementation on 16nm, 7nm, 5nm or 3nm technology is required.

What are the key technical skills needed for this position?

Strong power user experience with P&R, Timing analysis, Physical Verification and IR Drop Analysis CAD tools from Synopsys (ICC2/DC/PT/STAR/ICV), Cadence (Genus/Innovus/Tempus) and others is required, along with RTL2GDS experience.

What scripting languages are desired for this role?

Proficiency using Python, Perl, Tcl, Make scripting is desired.

What is the salary or compensation for this position?

This information is not specified in the job description.

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

This information is not specified in the job description.

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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