Intellectual Property Security Engineer

NVIDIA is a leader in computer graphics and AI technology, seeking an Intellectual Property Security Engineer to enhance the security of their hardware IP. The role involves collaborating with engineering teams to establish secure workflows, implement security policies, and investigate potential threats.

Responsibilities:

• Play a vital role in protecting our intellectual property from malicious and accidental misuse by helping engineering teams build secure-by-default workflows and environments
• Crafting training materials
• Implementing security policies and methodologies
• Investigating newly discovered threats to the integrity of NVIDIA's security infrastructure
• Define priorities, plan schedules, and build relationships with other teams
• Improve existing practices and policies
• Reduce the impact of security requirements on engineering productivity

Requirements:

• Strong interpersonal skills
• A mentality of improving the productivity and work experience of internal customers
• Established and led high-performing technical teams across hardware engineering and/or information security, driving multi-functional initiatives, mentoring engineers, and delivering secure, reliable systems from design through deployment
• Strong threat-modeling experience, including data flows, trust boundaries, STRIDE-style analysis, and translating findings into mitigations
• Ability to prioritize practical risk reduction in a fast-moving engineering environment
• Experience securing Linux-based on-prem or cloud infrastructure at scale, including authentication, authorization, hardening, patching, logging, and incident response
• Comfortable presenting to and working with senior management to convey risk and work to prioritize mitigation
• Bachelors, Masters in Computer Science or a related field or equivalent experience
• 8+ years of experience
• 5+ years as technical team lead bridging engineering, product, and customers, translating requirements into actionable plans and steering the team to successful outcomes
• Led and/or mentored a support team of engineers, coaching on technical and customer-facing skills while driving accountability and continuous improvement
• Experience securing AI-assisted developer workflows, including connected CLIs, agent permissions, prompt injection, data leakage, and autonomous execution controls
• Experience with security monitoring, audit logging, detection engineering, and investigation of suspicious activity
• Familiarity with EDA workflows, semiconductor design environments, or other large-scale engineering/HPC environments