The Role
Builds secure AI and agentic cybersecurity tooling, transforming research prototypes into production-ready services. Responsibilities include developing backend services, APIs, CLI tools, automation, and integration patterns; defining MVPs for ambiguous security and identity challenges; collaborating across research, product, enterprise security, and platform teams; and applying offensive security and adversarial thinking to address AI-specific risks such as injection, tool misuse, unauthorized access, data exfiltration, and unsafe delegation.
Summary Generated by Built In
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.
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.Skills Required
- Bachelor's degree, master's degree, or equivalent experience in Computer Science or a related field
- 8+ years of experience in software engineering, security engineering, or related areas
- Hands-on technical leadership experience
- Strong software engineering skills building backend services, APIs, automation, or platform components
- Experience with multi-contributor and long-running software projects
- Familiarity with building agents, AI tooling, and AI architectures
- Experience framing problem spaces, defining MVPs, prototyping, and evolving ideas into production systems
- Familiarity with offensive security, adversarial thinking, red teaming, or attack-path analysis
- Ability to collaborate across organizational boundaries and balance security with usability and adoption
- Human-centered thinking and ability to translate researcher and user requirements into code
- Experience building reusable frameworks and tooling that improve engineering velocity and consistency
- Deep familiarity with open-source projects, community involvement, workflow, and governance
- Experience with agentic or AI-adjacent systems, including tool-using applications, workflow orchestration, evaluation loops, policy controls, memory/context services, or trust and discovery systems
- Understanding of AI-specific security risks, including injection, tool misuse, unauthorized access expansion, data exfiltration, and unsafe delegation patterns
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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The Company
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
