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
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Senior System Software Engineer opportunity at NVIDIA to develop CUDA drivers and advanced GPU system software, collaborating closely with hardware engineers to push AI computing boundaries.
Technical Program Manager role at NVIDIA driving critical partnerships and complex data center system software projects for next-generation platforms.
Avalanche, a Warner Bros. Games studio, is looking for an Advanced Software Engineer to create innovative gameplay features for blockbuster AAA games.
A dynamic Full-Stack Product Engineer role at Fireworks, developing cutting-edge generative AI platform features with direct user impact.
A fully remote Senior Back-End Software Engineer role at Dakota to develop robust blockchain-integrated financial systems in a fast-growing fintech startup.
Contribute to cutting-edge cybersecurity solutions by developing intrusion prevention system content at Palo Alto Networks.
Visa is seeking an experienced Staff Software Engineer specialized in Java and cloud tools to design and develop scalable payment network applications in a hybrid Los Angeles role.
Innovate as a Senior Software Engineer at Google, designing and deploying advanced AI/ML cloud data management technologies.
Experienced Sr. Web Programmer wanted at OCT Consulting to develop and maintain advanced web-based systems supporting weather forecasting at the NWS Pacific Region.
Drive impactful product development at Savvy, a fast-growing fintech startup transforming wealth management with AI-powered advisor tools.
Contribute to Esri's ArcGIS Spatial Analyst team by developing cutting-edge C++ raster analysis tools that empower spatial decision-making worldwide.
Palo Alto Networks is looking for a Principal Software Engineer to design and develop next-generation internet security platform solutions.
Contribute to Apple's innovative Vision Pro platform as a Software Engineer building advanced UI frameworks that redefine user interaction in spatial computing.
Lead the design and development of SAP P2P solutions in S/4HANA for a dynamic food production company, enhancing procurement and invoice management workflows.
Contribute as a Senior Backend Software Engineer at Allocate, developing core API features and driving engineering maturity within a cutting-edge fintech startup.
NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
493 jobsSubscribe to Rise newsletter