Senior Security Architect - AI and ML at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine Learning, High-Performance ComputingIndustries

Requirements

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

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

Skills

AI Security

ML Security

Security Architecture

Trusted Execution Environment

Hardware Security

Cybersecurity Assessments

Architectural Modeling

NeMo

NeMo-Guardrails

BioNeMo

Morpheus

Omniverse

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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