We are looking for a hands-on Security Research Engineer who is excited to work at the intersection of cybersecurity, artificial intelligence, and real-world experimentation. Conduct applied security research across emerging cybersecurity and AI challenges, including threat analysis, vulnerability research, security architecture, operational security, and the security implications and opportunities created by AI and agentic systems. Translate real-world challenges from startups, industry, academia, and other partners into well-defined technical use cases, research questions, success criteria, and executable experiments; contribute to focused, sprint-based engagements that move quickly from scoping through testing, findings, and tangible outcomes. Design, build, test, and iterate on technical prototypes, research environments, tools, automations, and AI-enabled security workflows using the Greenwood Cyber

+ AI Lab's computing and security infrastructure, applying sound engineering, data-quality, privacy, and security practices throughout the research lifecycle. Contribute to the Greenwood Cyber

+ AI Lab's place-based mission by collaborating with Tulsa-area startups, universities, industry, and community partners; sharing research and technical insights through demonstrations, workshops, publications, or other forums; and helping strengthen the region's cybersecurity and AI innovation ecosystem while connecting Tulsa to broader national and global technology initiatives. Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 1+ year(s) experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 2+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. These requirements include, but are not limited to the following specialized security screenings: Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 5+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. OR equivalent experience. Ability to work on-site at the Greenwood Cyber

+ AI Lab in Tulsa, Oklahoma, as required to support hands-on technical experimentation, Lab operations, and partner engagements. Experience conducting applied cybersecurity research or engineering in areas such as threat analysis, vulnerability research, threat modeling, security architecture, penetration testing, detection, attack disruption, or other offensive or defensive security disciplines. Experience developing or experimenting with artificial intelligence, machine learning, large language models, AI agents or agentic systems, automation, and/or AI-enabled cybersecurity workflows, including the ability to prototype and evaluate technical approaches using code and modern computing environments. Experience translating ambiguous real-world problems into technical experiments, prototypes, or solutions and collaborating across technical and non-technical stakeholders, such as engineering teams, customers, startups, universities, industry partners, or public-sector organizations, to drive projects toward measurable outcomes.