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NVIDIA
NVIDIA

Pioneering accelerated computing and AI

Senior AI Networking Software Engineer

직무엔지니어링
경력시니어급
위치Israel
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게시1개월 전
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Our Network Codesign & Benchmarking R&D Group is looking to hire a skilled senior engineer interested in researching and developing solutions for the most pressing networking challenges of the world's fastest AI and HPC supercomputers. As a member of our team, you will be responsible for investigating, crafting, and implementing new protocols and algorithms that enable the best performance possible on NVIDIA networked supercomputers. This role offers you an excellent opportunity to deliver production-grade solutions, get hands-on with ground-breaking technology, and work closely with top technical leaders in shaping and innovating next-generation networking technologies.

What you'll be doing:

The team is responsible for developing high-performance communication frameworks running in the production of the largest AI clusters. The work environment is dynamic and adventurous; we are innovating and inventing software products at the forefront of technology in terms of performance, scalability, and features. In addition, our team works closely with networking chip design teams in co-designing new hardware features and software APIs.

What we need to see:

  • B.Sc., M.Sc. or Ph.D. in computer science or software engineering

  • 5+ years of relevant experience

  • Programming experience and proficiency in Python, System C/C++ development skills and familiar with Linux developing environment.

  • Experience in performance optimizations

  • Demonstrated use of creative ideas, providing solutions to challenging problems.

  • Strong interpersonal and organizational skills and the ability & desire to work as a great teammate.

Ways to stand out from the crowd:

  • Deep knowledge of Networking Protocols Infini Band, Ethernet

  • Knowledge in MPI and High-performance computing

  • Background in RDMA technology

  • Experience in kernel programming & in working with AI Models, Pytorch or equivalent

  • Open Source Software Contributor as well as an expert in computer architecture and operating systems

We are at the beginning of the next era, the AI computing era, ignited by GPU deep learning, which has shown to be deeply effective at solving some of the most complex problems in everyday life. NVIDIA is driving these efforts worldwide. Are you creative and driven? Do you love a challenge? If so, we want to hear from you.

We are committed to encouraging a diverse work environment and are 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, veteran status, disability status or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation.

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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

10개 리뷰

4.4

10개 리뷰

워라밸

2.8

보상

4.5

문화

4.2

커리어

4.3

경영진

3.8

78%

지인 추천률

장점

Cutting-edge technology and innovation

Excellent compensation and benefits

Great team culture and collaboration

단점

High pressure and expectations

Poor work-life balance and long hours

Fast-paced environment leading to burnout

연봉 정보

79개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

7개 리포트

$170,275

총 연봉

기본급

$130,981

주식

-

보너스

-

$155,480

$234,166

면접 후기

후기 5개

난이도

3.0

/ 5

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience