senior Data Engineer ic · Posted Jun 25, 2026

About this role

Nvidia is hiring a senior-level Data Engineer based in Yokneam, Israel. The posting calls out experience with Python, Machine Learning, Data Analytics, Tableau.

Role
Data Engineer
Function
data engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Yokneam, Israel
Posted
Jun 25, 2026

Job description

from Nvidia careers

NVIDIA Networking is excited to announce an outstanding opportunity for an IC Foundry Engineer to join our IC Product Engineering team in Israel. At NVIDIA, we flourish with innovation and modern technology. The ICs are at the forefront of the technology node, leading the industry in early adoption of the most advanced processes.

This position combines complex data analysis of various IC parametric measurements, close work with internal groups from various fields (Build, backend, layout and analog teams, Operations, IC test, Reliability, Characterization etc.) and close interaction with the foundry engineering teams.

This position suits someone passionate about semiconductor manufacturing, yield optimization, and working with world-class teams to deliver flawless performance.

What you'll be doing:

  • Drive yield and performance improvements across advanced nodes.

  • Serve as the key interface between NVIDIA and foundry partners, leading technical communication and driving issues to full containment.

  • Collaborate in a matrix structure and multiple domains for comprehensive product optimization.

  • Develop and apply data pipelines to identify yield limiters and process excursions.

  • Build automated monitoring and alerting frameworks to proactively detect process drift.

What we need to see:

  • B.Sc. in Electrical Engineering, Materials, Physics, Chemical Engineering, or equivalent experience.

  • 5+ years of proven experience in Process, Integration, Device engineering, or Semiconductor manufacturing.

  • Strong knowledge of FAB processes, integration flows, device behaviour, and quality metrics.

  • Outstanding problem-solving and data analysis skills.

  • Experience with large datasets and correlation methodologies.

  • Ability to multitask, prioritize, and complete tasks under pressure.

  • Strong communication and presentation skills.

  • High ownership, autonomy, and accountability.

  • Familiarity with scripting/programming (Python or similar) for data analysis and workflow automation.

  • Passion for data systems, automation, and applying AI/ML techniques to engineering problems.

Ways to stand out from the crowd:

  • Experience working directly with FAB or Silicon technology supporting systems (inspection tools, OSAT, etc.).

  • Hands-on experience with data analysis tools (e.g., JMP).

  • Experience with visualization tools (e.g., Tableau, custom Python dashboards).

  • Experience building or using ML models for yield prediction, defect classification, or process control.

  • Familiarity with data platforms or semiconductor-specific data ecosystems.

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