Senior Cybersecurity AI Solutions Engineer

Role Overview

NVIDIA’s Networking Cybersecurity Lab in Yokneam is seeking a Senior Cybersecurity AI Solutions Engineer to ensure network products are secure by architecting and delivering comprehensive security solutions with AI Security partners and fostering homegrown AI security development capabilities. This role bridges virtualization, modern cybersecurity architecture, hands-on AI engineering, and robust DevOps practices.

What You Will Do

Architecture design, deploy, and execute tests for 3rd-party cybersecurity AI solutions within a virtualized digital twin environment using NVIDIA Data Center Simulators (DSX AIR). Work with data scientists to fine-tune state-of-the-art AI models such as NVIDIA Nemotron, automate complex pipelines, and collaborate with offensive security researchers to increase adoption of products powering the AI revolution.

Why It Might Be a Fit

Candidates should have at least 5 years of experience including hands-on deployment and fine-tuning of Open/LLM models, familiarity with AI/ML frameworks and GPU acceleration, and experience in DevOps and virtualization. The role offers highly competitive salaries and a comprehensive benefits package.

Requirements

• B.Sc. in Computer Science / Electrical Engineering or equivalent experience
• At least 5 years of proven experience including hands-on experience deploying and fine-tuning Open/LLM models
• Familiarity with AI/ML frameworks (PyTorch, NeMo, Hugging Face) and GPU acceleration libraries (CUDA, TensorRT)
• Experience serving open models with vLLM, Hugging Face Transformers, TGI, llama similar frameworks. Inference libraries like DeepSpeed
• Experience in a DevOps role – CI/CD Tools: GitLab CI, GitHub, Gerrit or Jenkins
• Experience in programming and scripting using Python, Bash in Unix/Linux environment
• Good knowledge of virtualization VMware, KVM/QEMU, Hyper-V (or cloud-based hypervisors) Docker, Kubernetes, Helm
• Experience in physical and virtual networking (VLANs, subnets, firewalls) & datacentre networking
• Debugging skills at the OS, kernel, and service levels
• Excellent documentation, planning, and communication skills, with the ability to collaborate effectively with internal teams

Benefits

• Highly competitive salaries
• Comprehensive benefits package