Senior AI Engineer and Security Architect

Reposted 3 Days Ago
Be an Early Applicant
3 Locations
In-Office
5-5 Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior AI Engineer and Security Architect, you'll research AI techniques for securing networks, analyze telemetry for vulnerabilities, and collaborate on security improvements for NVIDIA's products.
Summary Generated by Built In

NVIDIA is a leader in accelerated computing, driving innovation across industries with groundbreaking technologies in AI, graphics, and high-performance computing. Our networking products, including InfiniBand and Ethernet solutions, power some of the world’s largest data centers, enabling unparalleled scalability and efficiency for AI and scientific workloads. In the realm of security, NVIDIA has a long history of providing secure solutions for AI products and securing the AI pipeline.

We are seeking expert AI engineers who are passionate about advancing cybersecurity research to join our team. This is an opportunity to work on groundbreaking projects that involve AI to secure high-performance networking systems.

What you'll be doing:

  • 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.

What we need to see:

  • Holding a PhD or MSc or equivalent experience in Electrical Engineering, Computer Science, or a related field with a focus on AI.

  • nvidia5+ 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.

Ways to stand out from the crowd:

  • PhD with a track record of publication in top peer-reviewed AI conferences or equivalent experience leading AI projects.

  • Expertise with LLMs and recent advancements in neural networks.

  • Architectural knowledge of system security.

  • Understanding of common attack vectors targeting network devices and methods to mitigate them.

  • A proven track record to translate sophisticated research into practical solutions.

Join us at NVIDIA to push the boundaries of cybersecurity research!

Top Skills

AI
Ethernet
Graphics
High-Performance Computing
Infiniband
Ipsec
Tcp/Ip
Tls
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

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, NVIDIA is increasingly known as “the AI computing company.”

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