Are you passionate about AI Security and interested in joining a team focused on driving improvement and solving tough challenges? NVIDIA's Networking Cybersecurity Lab located in Yokneam is looking for the next team member - a versatile Cybersecurity AI solutions Engineer. As part of the heart of NVIDIA's commitment to networking product security is Cyberlab. The NVIDIA Networking Cyberlab's primary goal is to ensure NVIDIA network products are secure, architecting and delivering comprehensive security solutions with AI Security partners and fostering homegrown AI security development capabilities.
We are seeking a Cybersecurity AI solutions Engineer to be part of the backbone of networking security innovation. In this role as part of your time, you will 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 scientist for fine-tuning state-of-the-art AI models - such as NVIDIA Nemotron, and automating complex pipelines. The ideal candidate bridges the gap between virtualization, modern cybersecurity architecture, hands-on AI engineering, and robust DevOps practices. This is an opportunity to work at the intersection of AI development, advanced cybersecurity, collaborating with offensive security researchers to increase the adoption the of products that power the AI revolution. Our new team member is an effective communicator, comfortable collaborate with cyber security architect team, engineers, technical staff, and enjoys working with a diverse, global workforce.
What you'll be doing:
Cybersecurity AI solutions engineering in digital twin env: architect, design deploy, and evaluate AI Security partners software within virtual environment frameworks. analyse, and test security products under simulated real-world datacentre workloads.
AI Model Setup & support Fine-Tuning tasks: AI Infrastructure sizing & setup configure and maintain infrastructure optimized for large language models and security analytics tools. deploy, optimize, and fine-tune NVIDIA Nemotron models for specialized cybersecurity tasks (e.g., threat detection, log analysis, automated response generation).
Dataset Management: curate, preprocess, and manage support training -evaluation datasets sourced from simulated data & telemetry
Infrastructure & DevOps Automation : CI/CD & pipeline management , build automated testing pipelines to streamline product deployment, validation runs, and benchmarking reports.
What we need to see:
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
NVIDIA is widely considered one of the technology industry's most desirable employers, with highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working with us.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Skills Required
- B.Sc. in Computer Science, Electrical Engineering, or equivalent experience
- At least 5 years of proven experience
- Hands-on experience deploying and fine-tuning open or large language models
- Familiarity with PyTorch, NeMo, Hugging Face, CUDA, and TensorRT
- Experience serving open models with vLLM, Hugging Face Transformers, TGI, or similar frameworks
- Experience with inference libraries such as DeepSpeed
- DevOps experience with GitLab CI, GitHub, Gerrit, or Jenkins
- Programming and scripting experience using Python and Bash in Unix/Linux environments
- Knowledge of virtualization technologies including VMware, KVM/QEMU, Hyper-V, or cloud-based hypervisors
- Experience with Docker, Kubernetes, and Helm
- Experience with physical and virtual networking, including VLANs, subnets, firewalls, and datacenter networking
- Debugging skills at the operating system, kernel, and service levels
- Excellent documentation, planning, communication, and collaboration skills
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.”
