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NVIDIA

Senior Cybersecurity AI Solutions Engineer

NVIDIA is hiring a Senior Cybersecurity AI Solutions Engineer. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this cybersecurity role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions Llama, Hugging Face and vLLM among its tools and skills.
  • Level classes it as a senior role.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

Design, deploy, and evaluate AI security solutions, fine-tune LLMs for cybersecurity tasks, and automate testing pipelines.

llamahugging-facevllmpytorchnvidia-nemotrondsx-airkubernetesdocker
fine-tuningai-securitydevopsthreat-detection

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.

How we rate this

Senior Cybersecurity AI Solutions Engineer at NVIDIA rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuningAI SecurityDevOpsThreat DetectionLlamaHugging FacevLLMPyTorch

Also common in cybersecurity jobs at this level

Pay

Typical cybersecurity job
$159k

This posting doesn't list pay. Use the typical cybersecurity figure when pay comes up. See cybersecurity jobs

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. Tell me about a project where ai security was part of your work. What did you do?
  3. Tell me about a project where devops was part of your work. What did you do?
  4. Tell me about a project where threat detection was part of your work. What did you do?
  5. Walk me through how you've used Llama in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Fine-tuning, AI Security, DevOps, Threat Detection, and Llama. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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