Role at a glance
- Job function
-
Software Engineering & IT Cybersecurity
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Seattle, Washington, United States
- Employment
- Full-time
- Experience
- Senior Level Experience of 5+ years in machine learning, cybersecurity, or closely related fields.
- Education
- Master’s or PhD Degree in Computer Science, Computer Engineering, Data Science, or a related field (or equivalent experience).
Spotted an issue?
We’ll check it against the original posting.
Role Summary
Conducts AI security research focused on using models and agents to improve cybersecurity and securing AI models, systems, and infrastructure. The work includes developing technology, tools, and processes to expose or remediate weaknesses in conventional and AI systems.
What You'll Do
- Conduct novel research on cybersecurity and AI, including using models and agents to improve cybersecurity and securing models and agents.
- Develop tools and processes to expose or remediate novel weaknesses in conventional and AI systems.
- Present research results through peer-reviewed publications or by sharing them with security, machine learning, and business communities.
- Share results with teams across NVIDIA and solve relevant problems in a range of contexts.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Shown programming expertise; outstanding knowledge of AI and conventional software weaknesses and mitigation strategies; in-depth understanding of Generative AI workflows; ability to present sophisticated technical information clearly; self-starter with a passion for growth, continuous learning, and sharing findings.
Preferred
- Tight-knit collaboration skills with a history of successful cross-functional projects.
- Discovered CVEs, built successful tooling.
- Knowledge of adversarial machine learning and techniques to defend against adversarial techniques.
- Experience with secure software development practices.
- Ability to build human-friendly resources.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Ready to expand the limits of AI security research? NVIDIA’s Agentic Cybersecurity Research team is searching for a motivated AI Security Researcher to innovate and improve the protection of AI models, systems, and infrastructure. Come work with us, where your knowledge will contribute to developing advanced technology that secures AI and systems through AI.
Our work in Security and AI is globally visible and helps drive the frontier of the whole industry. We are looking for a researcher with hands-on safety and security experience in agents to help us innovate and improve protection of AI models, systems and infrastructure. In this role you will research and develop technology that secures AI and systems using AI.
What you'll be doing:
- Novel and creative research on improving cybersecurity and AI. Our work focuses both on using models and agents to improve cybersecurity, as well as securing models and agents.
- Contribute research on new and exciting problems in AI and security. The world needs secure systems and needs AI to be safe and secure. As stewards of AI, at NVIDIA you will help address the problems in this space.
- Developing tools and processes to expose or remediate novel weaknesses in conventional and AI systems.
- Presenting results, by publishing them in peer-reviewed venues, or sharing them with the security, machine learning, and business communities in other ways.
- Improving AI and security at NVIDIA by sharing your results with other teams across the company and solving relevant problems in a wide range of contexts.
What we need to see:
- Master’s or PhD Degree in Computer Science, Computer Engineering, Data Science, or a related field (or equivalent experience).
- Experience of 5+ years in machine learning, cybersecurity, or closely related fields.
- Shown programming expertise.
- Outstanding knowledge of AI and conventional software weaknesses and mitigation strategies.
- In-depth understanding of Generative AI workflows.
- Self-starter with a passion for growth, enthusiasm for continuous learning, and sharing findings.
- Motivated and curious about new technologies.
- Ability to present sophisticated technical information clearly.
Ways to stand out from the crowd:
- Tight-knit collaboration skills with a history of successful cross-functional projects.
- Discovered CVEs, built successful tooling.
- Knowledge of adversarial machine learning and techniques to defend against adversarial techniques.
- Experience with secure software development practices.
- Ability to build human-friendly resources.
You will also be eligible for equity and benefits.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.