NVIDIA

Senior AI Networks System Engineer

NVIDIA

Tel Aviv-Yafo, Israel
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

We’re looking for a passionate and experienced Senior AI Networks System Engineer to join NVIDIA’s team and help lead our Artificial Intelligence (AI) Networks projects. This position requires a combination of technical and creative skills, as well as a strong commitment to delivering high-quality systems and results. The successful candidate must have solid experience with AI and machine learning projects, as well as a strong understanding of network engineering principles. We’re looking for an individual who is excited to take on a challenging role and can think outside the box to develop innovative solutions. The Senior AI Networks System Engineer should have excellent communication skills, be highly organized and detail-oriented, and have a strong customer service focus. If you’re an experienced AI Networks System Engineer who is excited to join a leading company and take on a new challenge, we’d love to hear from you.

Responsibilities:

  • Lead AI Networks projects from inception to completion
  • Develop innovative solutions to complex technical problems
  • Utilize knowledge of AI and machine learning principles
  • Design, implement, and maintain AI network systems
  • Provide technical support and troubleshooting for AI Networks systems
  • Ensure network security and performance
  • Monitor system performance and address any issues
  • Analyze system data and generate reports
  • Keep up to date with the latest AI and network technologies
  • Collaborate with other teams to ensure successful project deliverables
  • Provide excellent customer service
  • Maintain a high degree of professionalism and integrity
Where is this job?
This job is located at Tel Aviv-Yafo, Israel
Job Qualifications
  • Experience With Deep Learning Frameworks Such As Tensorflow

  • Experience With Linux

  • Strong Knowledge Of Computer Networks

  • Ai And Machine Learning Algorithms

  • Experience With Cloud Computing Technologies

  • Scripting Experience In Python

  • Knowledge Of Network Security

  • Familiarity With Distributed Systems And Architectures

  • And Experience With Nvidia Gpus

Required Skills
  • Engineering

  • Security

  • Testing

  • Programming

  • Networking

  • Troubleshooting

  • Debugging

  • Automation

  • Designing

  • Optimization

  • Analysis

  • Monitoring

  • AI

  • Systems

  • Configuration

Soft Skills
  • Communication

  • Leadership

  • Time management

  • Interpersonal Skills

  • Critical thinking

  • Organizational skills

  • Teamwork

  • collaboration

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Senior AI Networks System Engineer in Tel Aviv-Yafo, Israel is between ₪20,000 and ₪35,000 per month. The range may vary depending on the individual's experience and qualifications.

Additional Information
NVIDIA is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesHebrew
Job PostedAugust 28th, 2023
Apply BeforeSeptember 18th, 2025
This job posting is from a verified source. 
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About NVIDIA

NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.

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