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Senior Interconnect Product Engineer

NVIDIA

Senior Interconnect Product Engineer

NVIDIA

Israel, Yokneam

·

On-site

·

Full-time

·

2w ago

Required Skills

Statistics

Big data analysis

Python

SQL

Software scripting

Problem solving

We are looking for a creative, independent Product Engineer to join NVIDIA’s Networking business unit. For over two decades, NVIDIA Networking has continuously reinvented itself, delivering industry leading high speed interconnect products. Our solutions set the standard for performance, scalability, and innovation enabling true end to end high speed Ethernet and Infini Band solutions.

As we continue to grow, we are seeking exceptional engineers to help drive the next wave of technological advancement. In this role, you will take a leading position in the Interconnect Cluster Performance domain. You will work closely with global technical teams to gain deep architectural insight, investigate customer complaints, and drive product excellence. If you are passionate about building high-quality products that make a real-world impact, we want to hear from you.

What You’ll Be Doing:

  • Maintain high-quality product deliveries through in depth BIG data analysis and failure analysis

  • Improve product performance by collaborating with Process, Mechanical, Hardware, and Thermal teams

  • Lead high impact task forces and cross functional working groups

  • Help Design and enhance product test plans to ensure high customer satisfaction

  • Manage failure analysis for both field and lab issues

  • Collaborate closely with Customer Support, Marketing, Engineering, Quality, and Reliability teams

What We Need to See:

  • B.Sc. in Electrical Engineering, Materials Engineering, or equivalent

  • 5 years of relevant industry experience

  • Strong background in statistics and  big data analysis (JMP, Python, Power BI, SQL)

  • Solid understanding of electronic circuits

  • Strong software and scripting skills

  • Excellent presentation and communication skills

  • Proven problem solving and prioritization abilities

  • Ability to communicate effectively across diverse teams and functions

Ways to Stand Out from the crowd:

  • Experience with optical networking technologies

  • Physical Layer (PHY / Layer 1) networking verification experience

  • Hands-on experience designing and executing reliability experiments

NVIDIA has some of the most forward thinking and hardworking people in the world working for us and, due to unprecedented growth, our world class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are 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

4.1

10 reviews

Work Life Balance

3.5

Compensation

4.2

Culture

4.3

Career

4.5

Management

4.0

75%

Recommend to a Friend

Pros

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

Cons

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

Salary Ranges

47 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

7 reports

$170,275

total / year

Base

$130,981

Stock

-

Bonus

-

$155,480

$234,166

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR