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NVIDIA
NVIDIA

Pioneering accelerated computing and AI

Software Engineer, DOCA

职能工程
级别中级
地点Israel
方式现场办公
类型全职
发布2周前
立即申请

The NVIDIA DOCA team is seeking a passionate and innovative R&D Engineer to join design the next generation of Data Processing Unit (DPU) software. This role requires strong technical expertise and a creative attitude to influence the design of ground breaking software platforms. You’ll work closely with top engineers to explore new technologies, define system architecture, and drive key design decisions that shape the future of data center infrastructure. At NVIDIA, you’ll join a fast-moving team with global impact — transforming how Smart NICs power the world’s most advanced data centers.

What you'll be doing:

  • Design, implement, and optimize DOCA services that run on ground breaking cloud platforms, enabling high-performance and scalable data processing.

  • Collaborate with multi-functional teams to integrate DOCA Services with advanced networking, security, and compute workloads on world-leading cloud infrastructure.

  • Partner with world-class engineers to shape and build core infrastructure that powers next-generation DPU solutions.

  • Contribute to the evolution of DOCA by exploring new use cases, improving developer experience, and driving innovation across the DPU software stack.

What we need to see:

  • Bachelor's Degree in EE, CS, or CE, or equivalent work experience

  • 3+ years in a similar or related role with hands-on experience with the software development lifecycle, specifically for embedded systems, network, or security.

  • Strong programming skills in C/C++- must, Golang, Python, or other scripting languages -advantage.

  • Experience in Linux environment and tools.

  • Diligent and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements.

  • Ability to work with various teams and have strong analytical, debugging, and problem-solving skills with attention to detail.

  • Excellent communication skills, self-motivated, and well organized.

Ways to stand out from the crowd:

  • Proven track record in developing model-driven device management tools using gNMI, gNOI, YANG, and gRPC.

  • Extensive experience with C-based SDK development.

  • Expertise in the modern software lifecycle, including Meson build system for compilation, Linux packaging (RPM, DEB) for distribution, and Docker for containerization.

  • Expertise in memory forensics, demonstrated through significant software development or research contributions.

NVIDIA is widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're creative, self-motivated and enjoy having fun, then what are you waiting for? Apply today!

NVIDIA is committed to fostering a diverse work environment and is 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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关于NVIDIA

NVIDIA

NVIDIA

Public

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

10,001+

员工数

Santa Clara

总部位置

$4.57T

企业估值

评价

10条评价

4.4

10条评价

工作生活平衡

2.8

薪酬

4.5

企业文化

4.2

职业发展

4.3

管理层

3.8

78%

推荐率

优点

Cutting-edge technology and innovation

Excellent compensation and benefits

Great team culture and collaboration

缺点

High pressure and expectations

Poor work-life balance and long hours

Fast-paced environment leading to burnout

薪资范围

79个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

7份报告

$170,275

年薪总额

基本工资

$130,981

股票

-

奖金

-

$155,480

$234,166

面试评价

5条评价

难度

3.0

/ 5

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience