Overwatch Intern - Research - Summer 2027

Location: USA - Arlington, VA; USA - Austin, TX

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. 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 Internship operates on a hybrid model, requiring interns to work a mixed schedule of remote and 3 days in-person attendance. Interns must attend the CrowdStrike Austin, TX or Arlington, VA 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 26, 2027 - Friday, August 13, 2027

Cohort 2: Wednesday, June 2 2027 - Friday, August 20, 2027

Cohort 3: Monday,  June 14, 2027 - Friday, September 3, 2027

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, TX or Arlington, VA office. The intern is expected to work from the CrowdStrike office two times a week and should be within travel distance from the 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 Bachelor’s degree. Graduating in 2028.

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 accelerate their skills

Crave new and innovative work

Be able to complete technical tasks with minimal supervision

Desire to develop both technical and soft skills

Contribute to a positive work environment, and have a can-do attitude

Be seeking a career in cybersecurity and/or security engineering

Bring a willingness to build, improve and innovate solutions to interesting technical problems

Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Bonus Points

Successful candidates will have experience in one or more of the following areas:

Understanding of machine learning concepts and applications in security

Experience with security analytics platforms or SIEM technologies

Familiarity with common attack frameworks (MITRE ATT&CK, etc.)

Knowledge of cloud security concepts

Experience with automation frameworks and orchestration tools

Have an investigative mindset and a desire to find and stop evil

Keep up with the latest vulnerabilities and breaches

From a technical perspective, it is desired (but not required) that candidates:

Be comfortable with command-line interfaces (Windows, Linux, macOS, or any combination of those)

Have experience with data analysis and visualization tools

Have experience developing either front-end or back-end software

Be acquainted with strategies and tools to rapidly analy