refresh

トレンド企業

Trending

採用

JobsNVIDIA

Physical Design Methodology Engineer

NVIDIA

Physical Design Methodology Engineer

NVIDIA

Taiwan, Hsinchu

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity

Health benefits

Conference budget

Design tool subscriptions

Healthcare

Required Skills

InVision

Principle

Framer

About NVIDIA

NVIDIA has been a pioneer in technology for over two decades. The invention of the GPU in 1999 ignited the PC gaming market, transformed modern computer graphics, and revolutionized parallel computing. Today, with the global surge in artificial intelligence research, NVIDIA GPUs provide the necessary scalable and massively parallel computation power. As a "learning machine," NVIDIA continually adapts to new, challenging opportunities that only we can tackle and that have a significant impact on the world. Our mission is to amplify human creativity and intelligence. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our exceptional team and see how you can make a lasting impact on the world!

NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.

What You'll Be Doing

  • Create and enhance cutting-edge physical design methodologies for implementing GPUs, CPUs, and So Cs, focusing on optimizing Power, Performance, and Area (PPA) as well as improving the runtime efficiency of the physical design process on advanced technology nodes.
  • Develop workflows for advanced place and route techniques, floorplanning, and chip assembly, including power and clock distribution, power and area optimization, timing analysis, IR and EM analysis.
  • Work together with internal and external partners to enhance tools and methodologies, ensuring the delivery of top-tier Power, Performance, and Area (PPA) solutions across all our product lines
  • Continuously strive to improve the RTL-to-GDS flow to enhance Power, Performance, and Area (PPA), address a wide range of design issues, and implement proactive interventions

What We Need to See

  • MS in Electrical or Computer Engineering (or equivalent experience).
  • Minimum 5 years of experience in Physical Design Engineering.
  • Demonstrated success in enhancing Power, Performance, and Area (PPA) for high-performance and low-power designs using advanced technology nodes.
  • Strong understanding of physical design optimization and routing methodologies at place, CTS, route, and post-route, especially power and area-efficient setup and hold optimization.
  • Strong background of design rules in advanced technology nodes and their impact on Design Rule Check (DRC) closure and Power, Performance, and Area (PPA) optimization.
  • Understanding of power intent files such as UPF, and use of FSDB/SAIFs for power optimization.
  • Understanding of hierarchical design, pinning, and budgeting flows.
  • Experience with power distribution networks, Design for Yield and Manufacturability, EM and IR closure, and thermal management.
  • Expertise and in-depth knowledge of industry-standard EDA tools.
  • Proficiency in programming and scripting languages, such as TCL, Perl, Python, and C++.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

Employees

Santa Clara

Headquarters

$4.57T

Valuation

Reviews

4.1

10 reviews

Work Life Balance

3.5

Compensation

4.2

Culture

4.3

Career

4.5

Management

4.0

75%

Recommend to a Friend

Pros

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

Cons

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

Salary Ranges

47 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

7 reports

$170,275

total / year

Base

$130,981

Stock

-

Bonus

-

$155,480

$234,166

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR