Senior Cybersecurity AI Solutions Engineer

NVIDIA
Israel
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Documentation","Planning","Collaboration","Problem-solving"]

Architect, design, deploy, and evaluate AI security solutions within a virtualized digital twin environment for NVIDIA’s Networking Cybersecurity Lab in Yokneam. Build and fine-tune NVIDIA Nemotron models for cybersecurity tasks, manage training/evaluation datasets from simulated data and telemetry, and automate benchmarking and validation through CI/CD pipelines. Collaborate with data scientists, cyber security architects, and researchers to improve networking product security using AI.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Cybersecurity AI Solutions Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Architect, design, deploy, and evaluate AI security solutions within a virtualized digital twin environment for NVIDIA’s Networking Cybersecurity Lab in Yokneam. Build and fine-tune NVIDIA Nemotron models for cybersecurity tasks, manage training/evaluation datasets from simulated data and telemetry, and automate benchmarking and validation through CI/CD pipelines. Collaborate with data scientists, cyber security architects, and researchers to improve networking product security using AI.
Location: Israel
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Architect, design, deploy, and evaluate AI security partner software in digital twin virtual environments using NVIDIA Data Center Simulators (DSX AIR).
  • •Deploy and fine-tune NVIDIA Nemotron models for cybersecurity use cases such as threat detection, log analysis, and automated response generation.
  • •Curate, preprocess, and manage training and evaluation datasets sourced from simulated data and telemetry.
  • •Set up and optimize AI infrastructure for large language models and security analytics tools.
  • •Implement DevOps automation with CI/CD and automated testing pipelines for deployment validation and benchmarking reports.

Key Requirements

  • •B.Sc. in Computer Science or Electrical Engineering (or equivalent experience).
  • •At least 5 years of hands-on experience deploying and fine-tuning open/LLM models.
  • •Familiarity with AI/ML frameworks and GPU acceleration libraries such as PyTorch, NeMo, Hugging Face, CUDA, and TensorRT.
  • •Experience serving open models using vLLM, Hugging Face Transformers, TGI, and llama-like frameworks (e.g., DeepSpeed inference libraries).
  • •DevOps experience with CI/CD tooling (e.g., GitLab CI, GitHub, Gerrit, or Jenkins) and scripting in Python/Bash on Unix/Linux.
Experience:5+ yearsAICybersecurityDevOpsVirtualizationMachine learningGPUNetwork security
Education:Bachelor's in Computer Science or Electrical Engineering
Skills:CommunicationDocumentationPlanningCollaborationProblem-solving
Tech Stack:PyTorchNeMoHugging FaceCUDATensorRTVLLMTransformersTGIDeepSpeedPythonBashVMwareKVMQEMUHyper-VDockerKubernetesHelmGitLab CIGitHub

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
WebsiteLinkedInGlassdoor