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?

Responsibilities

• 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.

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 experience in building or standing up 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.
• Knowledge on 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.

Benefits

• Competitive base salary ranging from $148,000 to $287,500 USD, determined based on location, experience, and pay of employees in similar positions.
• Eligibility for equity and benefits as detailed on NVIDIA's benefits page.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We value diversity and do not discriminate based on protected characteristics by law.