Job Information
Nvidia Senior Software Engineer, AI Security Engineering in Santa Clara, California
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.
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, 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.
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 frameworks Angular or React
The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse 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.