NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join NVIDIA, a world leader in computing technology and AI, where we are exploring new possibilities! Our Advanced Development Network Engineer role in Israel offers a special chance to contribute to large-scale network simulations for innovative AI datacenter research and development. You will be part of a dynamic team that values creativity and collaboration. If you are enthusiastic about technology and eager to build a significant difference, this is the place for you!
What you'll be doing:
Developing a brand new digital twin powered by CUDA technology for advanced research on data centers.
Collaborating with a team of extraordinary engineers and researchers to develop and implement innovative solutions.
Partnering with diverse teams to ensure smooth integration and deployment of network solutions.
Continuously exploring new technologies and methodologies to improve our network capabilities.
What we need to see:
Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
5+ years of experience in computer science, network engineering or related fields.
Excellent problem-solving skills.
Outstanding collaboration and communication skills.
Ways to Stand Out From the Crowd:
Hands-on experience developing CUDA applications
Extensive knowledge of network protocols
Proficient knowledge of extensive network simulations and AI datacenter ecosystems.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Skills Required
- Bachelor's degree in Computer Science, Electrical Engineering, or related field
- 5+ years of experience in computer science, network engineering or related fields
- Excellent problem-solving skills
- Outstanding collaboration and communication skills
- Hands-on experience developing CUDA applications
- Extensive knowledge of network protocols
- Proficient knowledge of network simulations and AI datacenter 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 — 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.”
