Senior AI Engineer and Security Architect at NVIDIA

Cambridge, England, United Kingdom

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AI, NetworkingIndustries

Requirements

Holding a PhD or MSc or equivalent experience in Electrical Engineering, Computer Science, or a related field with a focus on AI
5+ years of relevant experience
Experience with innovative AI tools, frameworks, and methods related to cybersecurity incident detection and prevention
Background in cybersecurity, networking (TCP/IP), and network security (TLS/IPSec)
Solid programming skills and a deep understanding of secure system design

Responsibilities

Research novel AI techniques to secure next-generation networks and apply them to existing NVIDIA products
Investigate and analyze network telemetry for indicators of vulnerabilities in secure environments
Collaborate with NVIDIA researchers to explore innovative ways to improve security in networking products
Contribute to projects that have potential real-world impact on NVIDIA's product portfolio

Skills

Cybersecurity

Networking

TCP/IP

TLS

IPSec

LLMs

Neural Networks

Secure System Design

Network Telemetry

Python

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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