NVIDIA

NVIDIA

Posted via Workday

Senior AI Security Engineer

Posted Oct 20, 2026

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 8+ years in software engineering, security engineering, or related areas, including hands-on technical leadership.
Education
Bachelor’s degree or Master’s degree or equivalent experience in Computer Science or a related field.

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Role Summary

AI-generated

The Senior AI Security Engineer develops software and practical solutions for AI cybersecurity, including agent-oriented security approaches. The role works with research, security, product, partner, and platform teams to move ideas and prototypes toward production-ready systems.

What You'll Do

  • Build software to accelerate and improve cybersecurity tooling for AI.
  • Develop research code into alpha versions of products with research and product teams.
  • Identify high-value MVPs for ambiguous security and identity problems, prototype and validate solutions with partner teams, and iterate...
  • Develop reusable skills, CLI tools, APIs, and integration patterns for secure agent approaches across enterprise tools and platforms.
  • Partner with enterprise security, product, AI, and platform teams to align architecture with workflow needs and operational constraints.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Bachelor’s or master’s degree in Computer Science or a related field, or equivalent experience; 8+ years in software engineering, security engineering, or related areas, including hands-on technical leadership. Requires strong software engineering skills in backend services, APIs, automation, or platform components; experience with multi-contributor and long-running software projects; familiarity with agents, AI tooling, and architectures; ability to define MVPs, prototype, and evolve ideas into production systems; and familiarity with offensive security, adversarial thinking, red teaming, or attack-path analysis.

Required

  • Bachelor’s degree or Master’s degree or equivalent experience in Computer Science or a related field.
  • 8+ years in software engineering, security engineering, or related areas, including hands-on technical leadership.
  • Excellent software engineering skills, including crafting and building backend services, APIs, automation, or platform components in...
  • Experience with multi-contributor software projects and long-running software projects.
  • Familiarity with building agents, AI tooling, and architectures.
  • Track record of framing problem spaces, defining an MVP, prototyping quickly, and evolving ideas into production systems.
  • Familiarity with offensive security, adversarial thinking, red teaming, or attack-path analysis, capable of applying that perspective to...
  • Flexibility and willingness to frequently collaborate across organizational boundaries, balancing security with usability and adoption.

Preferred

  • Demonstrate strong human-centered thinking, carefully integrating underlying requirements from researchers and users into code.
  • Excellent software engineering instincts, including the ability to build reusable frameworks, understand and refine requirements, build...
  • Deep familiarity with open-source projects, including community involvement, workflow, and governance.
  • Experience with agentic or AI-adjacent systems, such as tool-using applications, workflow orchestration, evaluation loops, policy...
  • Understanding of AI-specific security risks such as injection, tool misuse, unauthorized access expansion, data exfiltration, or unsafe...

Original job description

Content provided by the employer

At NVIDIA, we are stewards of AI. Agents are now a crucial part of cybersecurity where NVIDIA collaborates to set the standard. As model functionality increases and the cybersecurity landscape evolves, we need agents that can seamlessly interface between humans, models, and computing artifacts to build secure environments.


Our Agentic & AI Cybersecurity Research team at NVIDIA is seeking a Senior Engineer. This hands-on role suits someone who transforms sophisticated problems and basic prototypes into practical solutions. They work with research, security, product, and partner teams to build lasting code bases.


What you will be doing:

  • Building leading software ahead of the curve to accelerate and improve cybersecurity tooling for AI.
  • Collaborating closely with research teams and product teams to be responsible for development of research code into alpha versions of products.
  • Rapidly identifying the highest-value MVP for ambiguous security and identity problems, prototyping solutions, validating them with partner teams, and iterating towards production-ready services.
  • Developing reusable skills, CLI tools, APIs, and integration patterns to help internal teams embrace secure agent approaches across enterprise tools and platforms.
  • Partnering closely with teams across Enterprise Security, Product Security, Enterprise AI, Enterprise Product, and relevant platform teams to align architecture with real workflow needs and operational constraints.


What we need to see:

  • Bachelor’s degree or Master’s degree or equivalent experience in Computer Science or a related field.
  • 8+ years in software engineering, security engineering, or related areas, including hands-on technical leadership.
  • Excellent software engineering skills, including crafting and building backend services, APIs, automation, or platform components in various programming environments. The role requires quickly learning new paradigms, frameworks, and tools as needed.
  • Experience with multi-contributor software projects and long-running software projects.
  • Familiarity with building agents, AI tooling, and architectures.
  • Track record of framing problem spaces, defining an MVP, prototyping quickly, and evolving ideas into production systems.
  • Familiarity with offensive security, adversarial thinking, red teaming, or attack-path analysis, capable of applying that perspective to architecture decisions and security tradeoffs.
  • Flexibility and willingness to frequently collaborate across organizational boundaries, balancing security with usability and adoption.

Ways to stand out from the crowd:

  • Demonstrate strong human-centered thinking, carefully integrating underlying requirements from researchers and users into code.
  • Excellent software engineering instincts, including the ability to build reusable frameworks, understand and refine requirements, build tooling that improve engineering velocity and consistency.
  • Deep familiarity with open-source projects, including community involvement, workflow, and governance.
  • Experience with agentic or AI-adjacent systems, such as tool-using applications, workflow orchestration, evaluation loops, policy controls, memory/context services, or trust and discovery systems.
  • Understanding of AI-specific security risks such as injection, tool misuse, unauthorized access expansion, data exfiltration, or unsafe delegation patterns.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 24, 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.

NVIDIA

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.