Senior AI Security Engineer
Required skills
- AI
- cybersecurity
- agents
- software engineering
- security engineering
- backend services
- APIs
- automation
- platform components
- multi-contributor software projects
Nice to have
- human-centered thinking
- reusable frameworks
- engineering velocity
- open-source projects
- community involvement
- workflow orchestration
Role summary
NVIDIA is seeking a Senior AI Security Engineer to build and advance AI-driven cybersecurity solutions. This role involves transforming research into production-ready services, developing secure agentic approaches, and collaborating across security, product, and research teams. The ideal candidate has 8+ years of experience in software and security engineering, with a strong understanding of AI security risks, offensive security principles, and agent development. Responsibilities include crafting backend services, APIs, and automation tools, with a focus on rapid prototyping and iterative development to enhance AI cybersecurity tooling.
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.
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.Originally posted on Himalayas
Sample NVIDIA interview questions
- 1
Design a system for a rock paper scissors game
system designmedium - 2
Implement a distributed data migration management platform.
system designmedium - 3
Design a Distributed Build System with Cross-Data Center Artifact Sharing
system designhard - 4
Design a distributed training system for a trillion-parameter language model
system designmedium - 5
Develop a distributed tracing system for tracking and debugging.
system designmedium
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