NVIDIA · 5 months ago
Senior Security Architect - AI and ML
NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence, and Visualization. The company is seeking a technical leader to define and implement secure architectures for AI and ML products, collaborating with various teams to meet security requirements for innovative projects.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Help define the field of ML/AI security architecture
Research, define, design, advise, develop, review, and implement architecture solutions meeting internal and external security requirements and standards
Collaborate across the company to guide the direction of designing secure AI and ML products, working with hardware, software, research, IT, and product teams
Architectural modeling, validation, definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods
Perform Product Cybersecurity assessments on projects of multiple NVIDIA product lines. Complete independent reviews on project work packages that are AI and ML specific
Develop new attacks and defenses for ML/AI enabled applications
Support the development of the Product Cybersecurity Training strategy and deliver cybersecurity trainings to increase awareness and understanding of security requirements, tools, processes, and technical standards for NVIDIA ML/AI systems
Qualification
Required
MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience
8+ years of relevant work experience
First-hand work with Machine Learning, Deep-Learning, or Artificial Intelligence
Familiarity with current attacks on ML models, including adversarial examples, training data extraction, model extraction, and data poisoning
Background with attacks on and attack surface of LLM-powered systems, including direct and indirect prompt injection, guardrail evasion, and tool abuse
Experience using modern Deep Learning software architectures and frameworks like Jax or PyTorch
Experience with security development lifecycle processes and tools
Programming and debugging fundamentals across languages such as Python, C/C++
Strong communication skills and a real passion for working as a team are essential
Preferred
Use of AI in vulnerability research or some other offensive domain
Experience analyzing AI-generated code for security issues
Demonstrated experience in MLops or Deep learning related infrastructure
Understanding of data science, statistical analysis, and visualization
Background of AI Trust principles and familiarity with application of ethical and safety perspectives to AI implementations
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
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
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
Recent News
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2026-01-13
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