Level

NVIDIA

Senior Research Scientist, AI-Enabled Secure Systems

NVIDIA is hiring a Senior Research Scientist, AI-Enabled Secure Systems. It pays $224k-$357k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Builds AI ●●●● is how Level rates this research scientist role: the job is building AI systems.
  • The listed pay starts 17% above the typical research scientist posting on Level.
  • Tools and skills the posting cites include Python, C and generative AI.
  • Level lists 2,700+ other open roles at NVIDIA.
  • The role was posted in the last few days.

AI in this role

Lead research on applying generative AI and agents to design, analyze, and verify secure computer systems.

pythonc
generative-aiagentsformal-methodsprogram-analysissecuritymachine-learning

We are looking for a Senior Research Scientist to lead research on using AI to design, analyze, implement, and verify secure computer systems. The work spans hardware architectures, firmware, operating systems, runtimes, compilers, libraries, and applications, combining advances in generative AI and agents with program analysis, formal methods, synthesis, computer architecture, and software engineering.


The goal is to make security a property that can be designed and verified from the outset rather than added after deployment. You will create AI-enabled techniques that help researchers and engineers express security requirements, explore designs, identify flaws, generate secure implementations, construct or check proofs, and produce trustworthy hardware and software artifacts at practical scale. NVIDIA is a leader in accelerated computing and AI systems. This role offers the opportunity to set research direction, influence future platforms, and translate foundational advances into practical capabilities in collaboration with research, product, and engineering teams.


What you'll be doing:

  • Define a high-impact research agenda and lead projects in AI-enabled secure system design, implementation, analysis, and verification.
  • Develop models, agents, and tools for security requirements and specification, threat modeling, architecture exploration, secure code and hardware generation, program analysis, synthesis, and proof construction.
  • Combine AI techniques with static and dynamic analysis, formal verification, symbolic reasoning, testing, and domain-specific security knowledge to produce reliable and machine-checkable results.
  • Build end-to-end prototypes and evaluate them on realistic hardware and software systems, measuring security, correctness, scalability, performance, and human productivity.
  • Collaborate across hardware, software, AI, research, and product teams; publish original research; mentor researchers and interns; and translate advances into practical developer and design capabilities.

What we need to see:

  • A Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent research experience.
  • 6+ years of relevant experience, with an established record of research excellence demonstrated through influential publications, open-source systems, patents, technology transfer, or substantial research collaborations.
  • Deep expertise in one or more relevant areas such as formal methods, program analysis, programming languages, software or hardware security, computer architecture, compilers, AI for code, or automated reasoning and synthesis.
  • Experience defining and leading ambiguous, multi-disciplinary research projects and providing technical mentorship.
  • Strong implementation and experimental skills in C, C++, Python, hardware description languages, theorem provers, analysis frameworks, or relevant AI/ML tooling.
  • Excellent written and verbal communication skills and the ability to connect foundational research with real engineering and product needs.

We are looking for a creative, collaborative, and self-directed researcher who wants to use AI to change how secure computer systems are conceived, built, and verified.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 26, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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 Research Scientist, AI-Enabled Secure Systems 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

Generative AIAgentsFormal MethodsProgram AnalysisSecurityMachine learningPythonC

Also common in research scientist jobs at this level

Pay

This job starts at
$224k
Typical research scientist job
$192k

This posting starts 17% above the typical research scientist job. See research scientist jobs

Questions you could be asked

  1. Tell me about a project where generative ai was part of your work. What did you do?
  2. Tell me about a project where agents was part of your work. What did you do?
  3. Tell me about a project where formal methods was part of your work. What did you do?
  4. Tell me about a project where program analysis was part of your work. What did you do?
  5. Tell me about a project where security was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Generative AI, Agents, Formal Methods, Program Analysis, and Security. 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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