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.
Skills Required
- Bachelor of Science in Electrical Engineering, Materials, Physics, Chemical Engineering, or equivalent experience
- 5+ years of experience in process engineering, integration engineering, device engineering, or semiconductor manufacturing
- Strong knowledge of fab processes, integration flows, device behavior, and quality metrics
- Strong problem-solving and data analysis skills
- Experience working 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 Python or similar scripting/programming for data analysis and workflow automation
- Passion for data systems, automation, and applying AI/ML techniques to engineering problems
- Experience working directly with fabs or silicon technology supporting systems, including inspection tools or OSAT
- Hands-on experience with data analysis tools such as JMP
- Experience with visualization tools such as Tableau or 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
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.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
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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