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NVIDIA
NVIDIA

Pioneering accelerated computing and AI

Senior Engineer, DPU Lifecycle Experience

职能工程
级别资深
地点Yokneam, Israel
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

Python

Linux

NVIDIA is pioneering the future of data center infrastructure, and our Blue Field Data Processing Units (DPUs), alongside the DOCA software framework, are at the heart of this revolution. We are looking for a highly technical, customer-obsessed Senior Technical Leader to define and drive the usability, integration standards, and provisioning for these cutting-edge technologies. In this role, act as the technical champion for the DPU, ensuring our software stack and tools are robust, performant, and intuitive from day one. By bridging the gap between core R&D and real-world deployments, this position directly shapes how seamlessly the world's largest data centers adopt our platform.

What you’ll be doing:

  • Own the end-to-end Blue Field and DOCA lifecycle, from out-of-the-box installation and configuration through field updates, provisioning, functionality, documentation, and performance.

  • Act as the essential bridge between R&D and the real world by collecting operational feedback from customers and internal stakeholders (developers, architects, integration teams, and QA).

  • Translate complex deployment friction points and customer pain points into actionable engineering requirements and architectural direction.

  • Perform hands-on prototyping, scripting, and system-level validation—installing the product, reproducing scenarios, and analyzing logs—to continuously elevate the platform.

  • Collaborate deeply with Core R&D, QA, and Solutions Architecture to guarantee new features meet strict usability standards.

What we need to see:

  • B.Sc. or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.

  • 10+ years of relevant industry background in Linux systems, advanced networking, integration, and virtualization.

  • Demonstrated system-level thinking and ability to understand complex interactions across hardware, firmware, OS, networking protocols, and DOCA services.

  • Proven track record with software integration, development workflows, and enterprise lifecycle management.

  • Proficiency in Python, Bash, and/or C/C++, automate deployment workflows, and build proof-of-concept integrations.

  • Excellent communication skills to clearly and persuasively articulate messy real-world problems into structured R&D priorities.

  • Willingness to travel to engage directly with key customers and engineering teams.

Ways to stand out from the crowd:

  • Familiarity with deploying/provisioning/automating/orchestrating DPUs, or similar SmartNIC technologies at scale.

  • Previous background as a Developer Advocate, Solutions Architect, or Development Manager for complex data center infrastructure.

  • Proven success leading cross-functional engineering task forces to resolve critical out-of-the-box customer deployments.

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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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