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NVIDIA

Senior AI Security Researcher

NVIDIA is hiring a Senior AI Security Researcher in Tel Aviv, Israel. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Builds AI ●●●● is how Level rates this cybersecurity role: the job is building AI systems.
  • Tools and skills the posting cites include PyTorch, Python and Docker.
  • Level classifies it as a senior role.
  • Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Senior AI Security Researcher to drive hands-on safety and security research on AI models and networking products at NVIDIA.

pytorchpythondockerkubernetestensorrt
ragml-opsai-safetyai-securityadversarial-mlcybersecurityllmred-teaming

At NVIDIA we tackle challenges no one else can solve. Our work in Networking and AI is transforming the world's largest industries and profoundly impacting society. NVIDIA Networking product security team is looking for an outstanding technical AI red teamer with hands-on safety and security experience to help us improve the safety posture of AI models, systems and infrastructure. In this role you will reduce risk, threats, and vulnerabilities in NVIDIA networking AI products.

What you'll be doing:

  • Drive hands-on safety and security research on a range of AI and networking products.
  • Develop tools and processes to expose novel weaknesses in AI models and systems to preempt threats.
  • Participate in defining and ensuring AI development processes meet safety and security standards.
  • Partner with cross-functional teams to understand needs and implement solutions.
  • Be a technical focal point across multiple teams and provide hands-on AI safety, security and engineering expertise.

What we need to see:

  • Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Data Science, or a related field (or equivalent experience).
  • Demonstrated experience of 5+ years in AI safety/security and offensive cybersecurity.
  • Knowledge of AI (both model and infrastructure) vulnerabilities and effective mitigation strategies.
  • In-depth understanding of LLM, MLLM, Generative AI, Agents and RAG workflows.
  • Proven Python programming expertise
  • Self-starter with a passion for growth, enthusiasm for continuous learning, and sharing findings across the team
  • Extremely motivated, highly passionate, and curious about new technologies.

Ways to stand out from the crowd:

  • Hands-on experience designing and building software products, including infrastructure and system design.
  • Knowledge of MLOps technologies such as Docker and Kubernetes.
  • Familiarity with ML libraries (PyTorch, TensorRT, or TensorRT-LLM).

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Senior AI Security Researcher at NVIDIA rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  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

RAGML OpsAI SafetyAI SecurityAdversarial MLCybersecurityLLMRed Teaming

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. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you monitor a model once it's live, and how do you know it needs retraining?
  3. How do you think about the risk of an AI system in this kind of role failing silently?
  4. Tell me about a project where ai security was part of your work. What did you do?
  5. Tell me about a project where adversarial ml was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, ML Ops, AI Safety, AI Security, and Adversarial ML. 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.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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