NVIDIA Networking business unit, IC silicon product engineering department is looking for a hardworking multi-disciplinary engineer to join a highly skilled existing team in bringing up new high end company products, defining its validation coverage or test plan, constructing and monitoring their own workplan and reaching a target of high Quality IC screening for production on a system level platform.
The primary responsibility of this position will be to define, plan, manage, implement and conduct all the product's System Level activities on the most advanced, cutting edge technology network adapters, switches and Interconnect while combining project management skills to monitor progress and matrix management of other teams and peers for the same cause - high quality company chips. This position location is in Yokneam. Our team enjoys a hybrid and flexible schedule — you'll be in the office 2–3 days a week under normal circumstances, with additional on-site days during peak activity periods. We value work-life balance and trust our team to manage their time effectively
What you’ll be doing:
Work with cross-functional teams across multi global sites - Arch, Marketing, Operations, HW, FW, SW, Data and more to identify the needed product coverage and requirements
Develop test plans, kick off the product from system level side with all stakeholders, define the right HW setup and make these test plans run while using existing test framework
Defining quality indicators/dashboard and analyze test results
Manage the transition of the product from engineering to mass production
Drive ownership of improving the company's products quality and time to market
What we need to see:
Bachelor's degree or equivalent experience in computer/software science/engineering, electrical engineering
8+ years of proven experience in engineering/technical program management (EPM)
Strong analytical, debugging and problem-solving skills
Ability to work independently and leading projects end-to-end, with high motivation and define the right priority per task or project
Proficient in English, both written and spoken.
Team player with excellent communication and presentation abilities
Proven experience with testing/QA methodologies and testing tools
Ability to work in a dynamic and challenging environment with great atmosphere and teamwork
Ways to stand out from the crowd:
Proven experience with Silicon (pre/post) validation
Scripting experience in python or similar
Familiarity with Unix/Linux OS operating systems
Prior experience in completing qualification test plans, including test plan preparations, testing, summary documentation and reports
Ability to look at the details on one hand and to see the bigger picture on the other hand.
Skills Required
- Bachelor's degree in computer/software science/engineering or electrical engineering
- 8+ years of experience in engineering/technical program management
- Strong analytical, debugging, and problem-solving skills
- Proficient in English, both written and spoken
- Experience with testing/QA methodologies and testing tools
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 — 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.
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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.
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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
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.”
