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JobsNVIDIA

Senior Architect, SoC Modelling

NVIDIA

Senior Architect, SoC Modelling

NVIDIA

2 Locations

·

On-site

·

Full-time

·

1w ago

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , 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 diverse team and see how you can make a lasting impact on the world!

The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our GPU architecture and maintain our leadership. In this position, you will be working with other world-class architects on modelling, analysis and validation of chip architectures and features that advance the state of art in performance and efficiency.

What you'll be doing:

  • Modelling and analysis of graphics and / or SOC algorithms and features

  • Lead cmodel chip execution end to end working with various stakeholder both internal and external

  • Drive the next generation Infra initiatives

  • Work in a team to document, design, develop tools to analyze and simulate, validate, and verify models

  • Develop tests, test plans, and testing infrastructure for new architectures/features

  • Code coverage analysis and reporting

What we need to see:

  • Bachelors Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering) with 10+ years of relevant work experience.

  • Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make) , toolchains (GCC, MSVC) and libraries (STL, BOOST)

  • Computer Architecture background with experience in modelling with System

C & TLM preferred:

  • Familiarity with Docker, Jenkins, Python, Perl

  • Excellent communication and interpersonal skills and ability to work in a distributed team environment

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Do you love the challenge of crafting the highest-performance silicon GPUs and So Cs possible? If so, we want to hear from you! Come, join our Architecture Simulation and Modelling team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

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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