Senior AI Security Engineer

🕒 October 20

🏄 California, Colorado, +3 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Build leading software to accelerate and improve cybersecurity tooling for AI • Collaborate with research and product teams to develop research code into alpha product versions • Identify high-value MVPs for ambiguous security and identity problems • Prototype solutions, validate them with partner teams, and iterate toward production-ready services • Develop reusable skills, CLI tools, APIs, and integration patterns for secure agent adoption across enterprise tools and platforms • Partner with Enterprise Security, Product Security, Enterprise AI, Enterprise Product, and platform teams • Align architecture with real workflow needs and operational constraints • Build lasting code bases from sophisticated problems and basic prototypes

🎯 Requirements

• 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 • Ability to quickly learn 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 • Ability to apply offensive-security perspectives to architecture decisions and security tradeoffs • Flexibility and willingness to frequently collaborate across organizational boundaries • Strong human-centered thinking • Ability to build reusable frameworks, understand and refine requirements, and build tooling that improves 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

🏖️ Benefits

• Equity • Benefits

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