Nvidia Senior Software Engineer AI Security Engineering 

United States, California 

101941417

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.

What you will be doing:

• Lead AI 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.

What we need to see:

• 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 build or standup highly scalable low latency end to end applications, infrastructure, and automation frameworks at large scale.

• Equivalent experience in AI security or cybersecurity is highly valued

• 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.

• Knowledgeable in implementing object-oriented languages in distributed environments, includingPython/GolangandRESTful APIs

• Experience designing reports fromscalable databases or datastores(MySQL, noSQL db or equivalent SQL technology)

• Familiarity with industry-standard tools for queuing, caching, and document databases, includingRedis, RabbitMQ,andElasticsearch.

• Background with deploying to cloud technologies and infrastructure

• Proficiency in working with scalable, high-availability, and low-latency systems (Kubernetes and Docker)

Ways to stand out from the crowd:

• Understanding of AI-specific security threats and defense mechanisms

• How to secure machine learning models and data from emerging threats

• Machine Learning and AI Knowledge: Proficiency in machine learning frameworks and an understanding of how to incorporate security standard methodologies into AI model development.

• Background with modern front-end frameworksAngularorReact