1 day ago
Base Salary
$184k - $357k/yr
Responsibilities
- Build software and cybersecurity tooling for AI.
- Develop research code into alpha product versions in collaboration with research and product teams.
- Identify high-value MVPs for security and identity problems, prototype solutions, validate them with partners, and evolve them into production-ready services.
- Develop reusable agent skills, CLI tools, APIs, and integration patterns for enterprise tools and platforms.
- Collaborate with Enterprise Security, Product Security, Enterprise AI, Enterprise Product, and platform teams to align architecture with operational needs.
Requirements
- Bachelor’s or master’s degree in Computer Science or a related field, or equivalent experience.
- 8+ years of software engineering, security engineering, or related experience, including hands-on technical leadership.
- Strong software engineering skills building backend services, APIs, automation, or platform components.
- Experience with multi-contributor and long-running software projects.
- Familiarity with agents, AI tooling, and related architectures.
- Experience framing problem spaces, defining MVPs, prototyping quickly, and evolving ideas into production systems.
- Familiarity with offensive security, adversarial thinking, red teaming, or attack-path analysis.
- Ability to collaborate across organizational boundaries while balancing security, usability, and adoption.
- Preferred experience with open-source projects, agentic or AI-adjacent systems, workflow orchestration, evaluation loops, policy controls, memory/context services, trust and discovery systems, and AI-specific security risks.
Benefits
- Eligible for equity and benefits.
- Base salary range is $184,000-$287,500 for Level 4 or $224,000-$356,500 for Level 5.
- Applications accepted at least until October 24, 2026.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.