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NVIDIA

Designs the chips and software that power AI

Research Scientist - AI and Systems Security

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with a strong research background in security, artificial intelligence and machine learning, computer architecture, operating systems, formal methods, programming languages and compilers, software systems, or other related areas.
  • A record of research excellence demonstrated through publications, open-source systems, patents, technology transfer, or substantial research collaborations.
  • Deep expertise in at least one of the three research areas—security of AI models and systems, AI-enabled design and verification of secure computer systems, or AI for cybersecurity—with the ability to connect that depth to challenges across the hardware/software stack.
  • Strong experimental research and prototyping skills, including the ability to build systems, define threat models, design meaningful evaluations, and analyze security and performance tradeoffs.
  • Strong programming skills in C, C++, Python, and/or relevant systems and machine-learning frameworks.

Responsibilities

  • Advance the security, safety, and privacy of AI models and systems across the full lifecycle, including data collection, training, model and agent behavior, inference, deployment, and platform operations.
  • Develop AI-enabled methods to design, analyze, implement, and verify computer systems, including hardware architectures, system software, runtimes, compilers, and applications; rigorously evaluate security, safety, privacy, performance, and efficiency tradeoffs.
  • Advance AI for cybersecurity by developing techniques for vulnerability discovery, secure code generation and review, threat detection, incident analysis, security validation, and automated defense.
  • Collaborate across hardware, software, research, and product teams; publish original research; and help translate research advances into practical systems and developer capabilities.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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