Overview As Privacy Counsel at NVIDIA, you help safeguard data across a world-class AI and technology platform. You will shape privacy governance, advise on vendor contracts and data sharing, and enable compliant product and partnership initiatives. You will work with cross-functional teams to implement scalable privacy processes and training, contributing to NVIDIA's responsible data practices in a fast-paced, innovation-driven environment. This role offers visibility into cutting-edge privacy challenges in AI and global data protection regimes, with impact across products and partnerships.
Compensation / Benefits- equity
- benefits (unspecified)
Responsibilities- Review vendor contracts and DPAs focusing on privacy, data use, and security provisions
- Support outbound data sharing with third parties, including data transfer risk assessments and ensuring safeguards
- Develop scalable processes and playbooks for vendor privacy review and third-party data sharing
- Consult with business partners on privacy considerations for new products, partnerships, and data initiatives
- Stay up-to-date with privacy laws (GDPR, GDPR-like frameworks, CCPA/CPRA, US state statutes) and advise on practical implications
- Collaborate with the legal and privacy team on data governance issues, drafting guidelines and training materials
- Grow into broader privacy and data governance responsibilities as the program evolves
Key requirements- J.D. with strong academic performance
- 4+ years of privacy law experience (vendor contracts, DPAs, data sharing)
- Fundamental understanding of GDPR, CCPA/CPRA, and other US state privacy statutes
- California Bar license required
- Strong written and verbal communication, organizational abilities, and ability to manage multiple workstreams
- Practical, business-minded approach to legal risk and mentorship capabilities
- strong communication
- attention to detail
- multi-tasking and organizational skills
- knowledge of privacy regulations (GDPR, CCPA/CPRA)
- experience with DPAs and vendor contracts
- data governance familiarity