Senior Cybersecurity AI Solutions Engineer
At a glance
Senior Solutions & Sales Engineering role at NVIDIA. Israel, Yokneam · full-time.
Pay not stated
growthroles summary, based on the employer's posting.
What you'll do
- Architect, deploy, and evaluate partner security software inside virtualized digital-twin environments
- Test security products against simulated data-center workloads and report benchmarking results
- Configure infrastructure for large language models and security analytics applications
- Adapt NVIDIA Nemotron models for threat detection, log analysis, and response generation
- Build CI/CD pipelines that automate deployment, validation, testing, and dataset workflows
What you bring
- A computer science or electrical engineering degree, or equivalent experience
- At least five years deploying and fine-tuning open or large language models hands on
- Working knowledge of PyTorch, NeMo, Hugging Face, CUDA, and TensorRT
- Experience serving models with vLLM, Hugging Face Transformers, TGI, or comparable frameworks
- Python and Bash development in Unix/Linux, plus virtualization, containers, Kubernetes, networking, and CI/CD experience
Who this fits
You’ll suit work that combines AI engineering, cybersecurity architecture, virtualization, and DevOps automation. The role involves close collaboration with data scientists, security architects, engineers, technical staff, and offensive security researchers. It is based in Yokneam, Israel, and calls for clear documentation, planning, and communication.
From the employer
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.
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