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Software Verification Engineer, Network Acceleration

NVIDIA

Software Verification Engineer, Network Acceleration

NVIDIA

Israel, Yokneam

·

On-site

·

Full-time

·

1d 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. NVIDIA’s Networking Software Group is rapidly growing, and we are hiring a Software Engineer for the Infini Band Switch Software Development team. Come and join a diverse group of engineers spread across the globe who come together in small close knit teams to innovate and develop groundbreaking solutions.

As a member of the team, you will be a part of a cutting-edge Python-based SW project using advanced techniques to solve complex issues. You will gain unique knowledge of how operating systems work, Linux kernel and how large scale networks are constructed. Teams utilize the latest software engineering methodologies and tools in an agile fashion to release on time. Are you ready for this challenge? The Networking Hardware Acceleration team develops a cutting-edge, high speed API for NVIDIA’s Network Interface Cards (NICs). We power foundational projects like DPDK and DOCA-Flow, driving next-generation networking performance. Join us to gain deep insights into NVIDIA’s hardware acceleration technology and make a meaningful impact on both software and hardware innovation.

What You’ll Be Doing

  • Learn new networking features, plan their verification strategy, and implement it on top of a Python-based in-house developed environment.
  • Design, develop, optimize, and maintain an OS/Kernel verification testing platform.
  • Collaborate with team members, architects, design, QA teams, and customers (both external and internal).
  • Innovate! We are always looking for new ways to make NVIDIA's Networking driver products shine in customers' eyes.

What We Need To See

  • B.S. degree or equivalent experience in Engineering/Computer Science/related field.
  • +1 years of relevant experience
  • Strong technical abilities, problem-solving, design, coding, and debugging skills.
  • Ability to lead feature development, take full ownership of tasks from A-Z and deliver independently with minimum supervision.
  • Great teammate with strong interpersonal skills.

Ways To Stand Out Of The Crowd

  • Proven experience in Python programming.
  • Knowledge in Networking protocols and Linux kernel.
  • Experience in software verification or validation.

It’s not just technology though! It is our people, some of the brightest in the world. At the center of NVIDIA's culture are our core values like innovation, perfection, determination and team-work, that guides us to be the best we can be. This makes NVIDIA one of the most innovative and dynamic places to work. We do our life's work here, and if you are creative and driven, then we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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NVIDIA 소개

NVIDIA

NVIDIA

Public

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

10,001+

직원 수

Santa Clara

본사 위치

$4.57T

기업 가치

리뷰

4.1

10개 리뷰

워라밸

3.5

보상

4.2

문화

4.3

커리어

4.5

경영진

4.0

75%

친구에게 추천

장점

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

단점

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

연봉 정보

73개 데이터

Junior/L3

Mid/L4

Junior/L3 · Analyst

7개 리포트

$170,275

총 연봉

기본급

$130,981

주식

-

보너스

-

$155,480

$234,166

면접 경험

7개 면접

난이도

3.1

/ 5

경험

긍정 0%

보통 86%

부정 14%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

자주 나오는 질문

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR