Advanced Development Engineer, AI Networking

NVIDIA
Tel Aviv
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: bachelorsSkills: ["Problem-solving","Collaboration","Communication"]

Develop a brand-new digital twin powered by CUDA for advanced AI datacenter research. Collaborate with engineers and researchers to build and deploy innovative network solutions, ensuring smooth integration across teams. Continuously evaluate new technologies and methodologies to expand network capabilities, supporting large-scale network simulations and next-generation AI networking work.

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FursaFursa
NVIDIA
NVIDIA
16 hours ago

Advanced Development Engineer, AI Networking

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Develop a brand-new digital twin powered by CUDA for advanced AI datacenter research. Collaborate with engineers and researchers to build and deploy innovative network solutions, ensuring smooth integration across teams. Continuously evaluate new technologies and methodologies to expand network capabilities, supporting large-scale network simulations and next-generation AI networking work.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop a brand-new digital twin powered by CUDA for advanced data center research.
  • •Collaborate with engineers and researchers to develop and implement innovative solutions.
  • •Partner with diverse teams to ensure smooth integration and deployment of network solutions.
  • •Continuously explore new technologies and methodologies to improve network capabilities.

Key Requirements

  • •Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
  • •2+ 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.
Experience:2+ yearsNetwork engineeringComputer scienceAI datacenter research
Education:Bachelor's in Computer Science or Electrical Engineering (or related field)
Skills:Problem-solvingCollaborationCommunication
Tech Stack:CUDA

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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