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JobsNVIDIA

SAI Verification Engineer

NVIDIA

SAI Verification Engineer

NVIDIA

2 Locations

·

On-site

·

Full-time

·

1w ago

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We are looking for a SAI software verification engineer to join our SAI development team. As a Verification Engineer at NVIDIA, you will work closely with NVIDIA’s development and architecture teams responsible for SAI design and gain deep understanding of NVIDIA products and technologies.

 

What you’ll be doing:
•    Be part of NVIDIA SAI multi-national R&D team, contribute code to SAI community and Nvidia SAI implementation.
•    Design and implement robust, maintainable, and efficient automation test suite.
•    Work with continuous integration systems, regression tools, automate builds, run test suites, generate test reports, isolate and classify failures and review new degradation.
•    Work with experienced teams which are well known in the SAI community.
•    Develop high quality code, most of the code is open source and published and reviewed in industry leading open source environments.

 

What we need to see:
•    B.Sc. degree or equivalent experience in Engineering/Computer Science/related field.
•    5+ years of experience as a Software Engineer.
•    Intrinsically motivated with a desire for automation programming.
•    Strong programming skills in Python.
•    Strong technical abilities, problem solving skills, coding and design skills.
•    Ability to lead feature development, take full ownership and deliver independently.
•    Linux knowledge: have a general understanding of Linux operation system concepts.
•    C experience and extensive knowledge.
•    Ability to understand, debug and improve 3rd party complex code.
•    Excellent communication in English and leading skills.

 

Ways to stand out from the crowd:
•    Knowledge in one or more of the following Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols.
•    Prior software testing experience, with an understanding of Software Testing Tools and Methodologies.
•    Experience in development in Linux (user and/or kernel modes).
•    Python specialist.

 

With competitive salaries and a generous benefits package, we are 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 and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

 

NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.

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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