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NVIDIA
NVIDIA

Pioneering accelerated computing and AI

Senior Software Engineer, DOCA SDK

RoleEngineering
LevelSenior
LocationIsrael, Tel Aviv
WorkOn-site
TypeFull-time
Posted1 week ago
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We are looking for a Senior Software Engineer. You will work with highly experienced engineers to provide the world's outstanding SmartNIC products for cloud-computing, research, medical, automotive, finance, weather, telco, and more. We are developing some of the core libraries of the NVIDIA DOCA SDK (https://developer.nvidia.com/networking/doca), rapidly growing DOCA functionality and use cases. With DOCA, developers can program the data center infrastructure by creating software-defined, cloud-native, secured, HW-accelerated services.

We also take significant part in the Linux-foundation DPDK (dpdk.org) project, and expand the NVIDIA-Mellanox PMD in particular, providing the framework and common API for fast packet processing in user space. Our goal is to enable breakthrough network performance, using NVIDIA SmartNIC hardware capabilities and address the performance, scale and security demands of modern software-defined enterprise data centers and public cloud infrastructure.

What you'll be doing:

  • You will architect, design, and develop the next-generation technology in network acceleration, as well as work with best-in-class technical leaders in this domain.

  • Engage with customers and architects to understand the requirements and derive the software design accordingly.

  • Collaborate with other engineering teams that develop the upper layers applications like virtual switches (OVS, VPP, and etc.) and lower layers like driver, kernel, FW, and HW.

What we need to see:

  • B.Sc. (or equivalent experience) in computer science/software engineering

  • 5+ years’ confirmed experience of Programming C/C++

  • 5+ years’ confirmed experience in Linux environment and tools

  • Deep experience with Networking Protocols mainly Ethernet, and security protocols

  • Experience with virtualization technologies

  • Strong analytical, debugging, and problem-solving skills

  • Deep knowledge of computer architecture and operating systems.

  • Experience in performance optimizations

Ways to stand out from the crowd:

  • Knowledge and experience in DPDK

  • Knowledge and experience with designing SDKs

  • Open Source Software Contributor to relevant projects (OvS, DPDK, Linux Kernel..)

  • A positive demeanor, a growth mindset, and excellent interactions with colleagues

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. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering 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, veteran 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

10 reviews

4.4

10 reviews

Work-life balance

2.8

Compensation

4.5

Culture

4.2

Career

4.3

Management

3.8

78%

Recommend to a friend

Pros

Cutting-edge technology and innovation

Excellent compensation and benefits

Great team culture and collaboration

Cons

High pressure and expectations

Poor work-life balance and long hours

Fast-paced environment leading to burnout

Salary Ranges

79 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

7 reports

$170,275

total per year

Base

$130,981

Stock

-

Bonus

-

$155,480

$234,166

Interview experience

5 interviews

Difficulty

3.0

/ 5

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience