NVIDIA · 8 hours ago
Senior Software Engineer, AI Security Engineering
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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.
Qualification
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Required
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.
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 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
Preferred
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
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (735)
2022 (892)
2021 (696)
2020 (534)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity· undefined
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