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NVIDIA

Designs the chips and software that power AI

Legal Counsel - AI Governance

Legal Counsel & Legal SupportConfirmed live in the last 24 hours
Full-timeUnited States

About the Job

Requirements

  • A J.D. degree with a record of strong academic performance.
  • At least 2 years of relevant legal experience in technology regulation, privacy, data governance, or AI, gained at a law firm, in-house, or in government.
  • Working knowledge of AI regulation and a genuine interest in how AI technologies are developed and governed.
  • A license to practice law in California and willingness to work from the Santa Clara headquarters.
  • Strong communication and project management skills, including writing, presentation, organizational abilities, and attention to detail.

Responsibilities

  • Advise research and product teams on regulatory requirements, transparency obligations, and development standards.
  • Help build and run compliance programs for AI technologies under global and state frameworks.
  • Draft and review AI frameworks, transparency reports, and other public disclosures.
  • Support regulator outreach, standards-body participation, and industry engagement on AI governance.
  • Continuously learn and develop legal skills and provide legal support on a wide variety of issues.

Desired Qualifications

  • In-house experience advising on AI, privacy, or technology regulatory compliance, ideally in the high-tech industry.
  • Technical familiarity with machine learning, AI model development, computer systems, or programming.
  • Familiarity with intellectual property, privacy, and cybersecurity topics as they relate to AI.

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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