Senior Software Engineer, AI Security Engineering

Details

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, we are increasingly known as “the AI computing company.” Are you willing to challenge yourself, and build great software by working with the dedicated people in the world?

We're seeking an experienced professional with a strong background in software development focused on solving AI security challenges, particularly within AI model development and training. You should have a fundamental understanding of AI-specific security threats and defense mechanisms. As a key member of our team, you’ll drive the creation of advanced security features and tools for our high-profile product teams. This role requires a problem solver who can successfully incorporate our internal security solutions to ensure the effective protection of our projects.

Responsibilities

• Lead security initiatives to integrate comprehensive security solutions across the AI product lifecycle.
• Develop and deliver sophisticated software applications and platforms that enable NVIDIA to release AI products securely and attest details about the release in the form of a bill of materials.
• Directly engage product teams and partner security teams to determine opportunities to improve our security posture.
• Work closely with customers, partners, and team members to gather requirements, set priorities, and manage expectations throughout the project lifecycle.
• Work within various Release Pipeline teams to automate security scanning to assess release readiness for different NVIDIA platforms.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, AI, or a related field (or equivalent experience).
• 5+ years of confirmed software development engineering or development operations capabilities in building or standing up highly scalable low-latency end-to-end applications, infrastructure, and automation frameworks at scale.
• Hands-on experience identifying vulnerabilities and implementing security measures for AI systems in production environments.
• Experience in full-stack design and development, with a focus on microservice architecture platforms.
• Expected to have a working knowledge of HTML5, CSS, and JavaScript and a basic understanding of user interface and user experience (UI/UX) design.
• Background with modern front-end frameworks such as Angular or React.
• Knowledgeable in implementing object-oriented languages in distributed environments, including Python/Golang and RESTful APIs.
• Experience designing reports from scalable databases or datastores (MySQL, noSQL db or equivalent SQL technology).
• Familiarity with industry-standard tools for queuing, caching, and document databases, including Redis, RabbitMQ, and Elasticsearch.
• Familiarity with deploying to cloud technologies and infrastructure.

Ways to stand out from the crowd:

• Familiarity with tools like Figma to create wireframes and mock-ups, then translating these designs into reusable code and building high-quality UI components with a focus on scalability.
• Proficiency in working with scalable, high-availability, and low-latency systems (Kubernetes and Docker).
• Understanding of Dependency Managers.
• Experience in integration of solutions in build pipelines.