Software Engineer – AI-Enabled Vulnerability Research (SWE3) [D.26.0226]

About this kind of role

What a Software Engineer – AI-Enabled Vulnerability Research (SWE3) [D.26.0226] usually does. The employer's own details are in the listing.

Typically does: Develops and maintains software used to identify and analyze security vulnerabilities, often focusing on artificial intelligence and machine learning techniques. This includes designing, coding, testing, and debugging software solutions to automate vulnerability detection and assessment. They may also research new attack vectors and develop tools to mitigate emerging threats. Collaboration with security researchers and engineers is common to improve overall security posture.

Tools and skills: Proficiency in programming languages like Python, Java, or C++, experience with machine learning frameworks (TensorFlow, PyTorch), and familiarity with security tools and concepts such as vulnerability scanners, penetration testing methodologies, and reverse engineering are generally required.

Good fit for: Individuals with a strong analytical background, a passion for cybersecurity, and the ability to learn and adapt to rapidly evolving technologies often thrive in this role.