Principal AI Security Researcher
Hybrid · San Francisco, California, United States or Singapore, Singapore
Job Summary
Lead original security research focused on agentic AI systems, tool-using agents, multi-agent workflows, MCP-based architectures, and AI-powered browsers. Identify, validate, and demonstrate novel attack vectors and adversarial techniques against AI systems in controlled environments. Define Opera's long-term AI security research roadmap and identify emerging threats relevant to products and users. Publish high-quality technical research, vulnerability disclosures, whitepapers, and conference presentations. Represent Opera at industry conferences and security events. Conduct security assessments, architecture reviews, and red team exercises for AI-powered products and services. Collaborate with product and engineering teams to translate research findings into secure product designs and engineering practices. Mentor AI Security Researchers across the team. Contribute to open-source tooling, industry standards, and responsible disclosure initiatives.
Required Qualifications
- Extensive experience in offensive security research, vulnerability discovery, or AI security
- Demonstrated record of discovering and disclosing vulnerabilities, CVEs, offensive research, or impactful security findings
- Deep understanding of AI systems, LLM applications, agentic frameworks, prompt injection, tool abuse, and adversarial AI techniques
- Strong software engineering capabilities with the ability to develop research tooling, proof-of-concepts, and testing frameworks
- Recognized presence within the security research community through conference talks, publications, open-source contributions, or industry leadership
- Experience leading research initiatives and operating independently in highly ambiguous environments
- Excellent written and verbal communication skills with the ability to explain complex security concepts to technical and non-technical audiences
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