Responsibilities - Build and iterate on threat detection, prevention, and response (TDR) systems for large-scale platforms, critical infrastructure, and globally distributed endpoints. - Support the security of LLM-based systems and AI agent systems by identifying attack surfaces, developing defensive mechanisms, and improving safe deployment. - Contribute to rapid exploration in LLM and AI agent security through prototyping, evaluation, security analysis, machine learning, and AI agentic approach. - Develop, test, deploy, and improve distributed security systems with a focus on reliability, observability, and scalability. - Work with cross-functional teams to translate product and security needs into engineering solutions and deliver impactful security capabilities. Qualification Minimum Qualifications - Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Computer Engineering, Cybersecurity or a related discipline. - Solid fundamentals in computer science, including algorithms, data structures, operating systems, computer networks, and databases. - Proficiency in at least one programming language such as Go, Java, Rust, Python, or C++, with the ability to write clean, reliable, and maintainable code. - Foundational understanding of back-end development, distributed systems, or cloud-native infrastructure through coursework, internships, research, or project experience. - Strong problem-solving skills, with the ability to think critically, break down complex problems, and learn quickly in a fast-evolving technical environment. Preferred Qualifications - Internship, research, or project experience building AI/LLM applications, AI agent systems, or related back-end and distributed systems. - Familiarity with core security concepts such as authentication, authorization, threat detection, vulnerability mitigation, and secure system design. - Research experience, or strong technical understanding, in the security of LLM-based systems and AI agent architectures, including areas such as prompt injection, tool misuse, model abuse, and agent workflow security. - Demonstrated interest in security and emerging technologies through coursework, competitions, open-source contributions, personal projects, or publications. Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $128000 - $316800 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.