Overwatch Intern - Research (Hybrid, Austin) - Summer 2026

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. 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 also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. 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. Our University Recruiting program is dedicated to attracting and cultivating the future leaders of this industry. This program offers paid positions for students and recent grads, designed to provide exposure to work that makes an impact while being supported through a structured experience with seasoned professionals. Ready to join a mission that matters? The future of cybersecurity starts with you.

Location & Work Arrangement

• HYBRID: The Overwatch Intern - Research Internship operates on a hybrid model, requiring interns to work a mixed schedule of remote and in-person attendance. Interns must attend the CrowdStrike Austin office for team meetings, collaboration sessions, and other essential events.

Time Commitment: Interns are expected to work 40 hours per week, Monday through Friday, during standard business hours.

Start & End Dates

• Cohort 1: Wednesday, May 20 - Friday, August 7, 2026 (11 ½ Weeks) 

• Cohort 2: Monday, June 1 - Friday, August 21, 2026 (12 Weeks)

• Cohort 3: Monday, June 15 - Friday, September 4, 2026 (12 Weeks)

About the Role:

The OverWatch Research and Development team, known as the Strategic Counter-Adversary Research (SCAR) team, conducts applied research, unbounded by specific technologies, to enhance our ability to expose and counter adversaries' activities through the development of novel detection technologies and tooling to optimize analyst workflows. The team consists of Engineers, Researchers, and Subject Area Experts who work together to conceive, design, prototype, and implement novel tooling. The position for the internship is as a Research Intern, taking part in innovation research and prototype development.

The SCAR internship is a hybrid remote role based out of CrowdStrike’s Austin office. The intern is expected to work from the CrowdStrike office two times a week and should be within travel distance from the Austin office.

What You’ll Do:

• Research and develop technology in support of cybersecurity threat hunting

• Support a key machine learning project focused on enhancing threat hunting capabilities

• Contribute to various ongoing R&D team projects as required

• Shadow different members of the team to gain exposure to threat hunting methodologies

What You'll Need:

• Must be currently working towards a Master’s degree. Graduating between May 2027-December 2027

• Demonstrate passion for cybersecurity through one or more of the following:

  • Cybersecurity-related major (Computer Science, Information Technology, Information Systems, International Affairs, Government, Informatics, etc)

  • Relevant coursework (Machine Learning, Data Science, Security Analytics, Programming, Computer Systems, Operating Systems, Networking)

  • Extracurricular activities (e.g., capture-the-flag competitions, cybersecurity clubs)

• Required: Programming experience

  • Preferred: Coursework or personal projects

  • Key languages: Python, Go, Java

  • Also considered: Data analysis languages (e.g., R) on a case-by-case basis

• Required: Ability to quickly learn technical concepts in fields like operating systems, networking, and cloud technologies.

• Required: Strong work ethic and ability to work on teams and independently.

• Preferred: Data analysis or machine learning experience.

• Be self-motivated and actively seek opportunities for growth

• Desire to rapidly accel