PhD Research Intern, Security and Privacy

Nvidia

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Quick summary

Work type
On-site
Location
Santa Clara, CAWestford, MA
Employment
Full-time
Posted
13 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Similar $164k
$102k $226k
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This listing doesn't post a salary. Most similar roles pay $114,400–$214,249.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · PhD Research Intern, Security and Privacy

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As a PhD Research Intern, Security and Privacy, you will join a team dedicated to developing secure, private, and safe systems for AI. You will analyze potential vulnerabilities in future systems and develop creative hardware, software, and algorithms to provide verifiable security, privacy, and safety guarantees. Your daily work involves collaborating across software, hardware, research, and product groups to co-design and co-optimize AI layers for performance and energy efficiency. You will utilize skills in computer architecture, programming languages, software systems, applied cryptography, and AI/ML algorithms. The role requires proficiency in C, C++, Python, and scripting languages. You will solve technical problems regarding data access limitations in AI by publishing original research and presenting at conferences to enable trustworthy future AI systems.

Skills

Applied Cryptography AI/ML Computer Architecture CUDA C++ Python C Compilers Operating Systems Software Systems Programming Languages Accelerated Computing Security Research

What you'll do

  • Analyze potential vulnerabilities and risks in future AI and AI-based systems.
  • Develop hardware, software, and algorithms to provide verifiable security and privacy guarantees.
  • Co-design and co-optimize AI system layers to balance protection with performance and energy efficiency.
  • Conduct experimental research and development on security and privacy across the hardware/software stack.
  • Publish original research and present findings at professional conferences and events.
  • Create techniques to enable trustworthy AI systems for critical use cases.

What we're looking for

  • Pursuing a Ph.D. in Computer Engineering, Computer Science, or Electrical Engineering.
  • Strong background in computer architecture, operating systems, programming languages/compilers, applied cryptography, and/or AI/ML.
  • Demonstrated expertise in at least one specific security area such as applied cryptography, programming languages, software systems, AI/ML algorithms, or computer architecture.
  • Strong publication and research collaboration records.
  • Experience with experimental research and development.
  • Experience with C, C++, Python, and/or scripting languages.

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