Senior Interconnect Product Data Engineer

Posted 10 Days Ago
Be an Early Applicant
Yokneam, ISR
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead Interconnect Cluster Performance efforts using big data and failure analysis to ensure high-quality product deliveries. Drive cross-functional collaborations (Process, Mechanical, Hardware, Thermal), lead task forces, design and improve test plans, manage field and lab failure analysis, and partner with Customer Support, Marketing, Engineering, Quality, and Reliability to improve product performance and customer satisfaction.
Summary Generated by Built In

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 InfiniBand 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

  • Demonstrated proficiency in AI-driven data analysis and decision support

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.

Skills Required

  • 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
  • Experience with optical networking technologies
  • Physical Layer (PHY / Layer 1) networking verification experience
  • Demonstrated proficiency in AI-driven data analysis and decision support

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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