As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. CrowdStrike is seeking a highly motivated new graduate to join our NGSIEM Agentic AI team. In this role, you will help build intelligent systems that analyze security data at massive scale. You will contribute to machine learning models, ranking and retrieval systems that power next-generation security operations. Working alongside experienced engineers, researchers, and security experts, you will help transform cutting-edge AI research into production-grade capabilities. This is a unique opportunity to solve challenging real-world problems at the intersection of AI, large-scale systems, and cybersecurity while making a direct impact on protecting organizations worldwide. This is a hybrid role based out of our office in Sunnyvale, CA, requiring 2 days per week on-site.
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Job Type
Full-time
Career Level
Entry Level