What We Do:
The CERT division of the Software Engineering Institute (SEI), a federally funded research and development center at Carnegie Mellon University in Pittsburgh, Pennsylvania, engages in state-of-the-art research and development and provides robust solutions focused on ensuring that software engineers, cybersecurity experts, network and system administrators, and others are able to resist, recognize, and recover from attacks on software systems.
Our Data Integration Team (DIT) team in the Threat Analysis Directorate (TAD) helps programs apply best practices and adopt emerging tools and techniques to advance solutions in malware analysis, reverse engineering, vulnerability analysis and coordination. The goal of the DIT team is to provide software development support for the TAD to build, manage, and sustain a homogeneous applications environment using a range of skills throughout the software development lifecycle. We apply a holistic cybersecurity and engineering approach to software intensive systems in the TAD domain. Keeping pace with cyber systems operations requires creativity, efficiency, and staying up to date with modern computing platforms. In some cases, the computing has outpaced the methods, and it is incumbent upon us to generate novel approaches to specific sponsor needs.
Position Summary:
You’ll be responsible for conceiving, documenting, developing, testing, and deploying software applications and systems to improve the capabilities of analysts to effectively deliver solutions to the CERT customers. You will participate in all phases of the software development lifecycle and will be involved in key decisions regarding software design and technology selection, architecture, and design of resilient and secure systems. You will work on existing projects with more senior developers and with research analysts until you have a grasp of the work and gain the expertise to take command of new or current projects.
Additionally, you will have the opportunity to work with our AI team using generative AI and large language models, data visualization, security analysis of AI systems, and adversarial machine learning. We have access to a wide variety of cyber-related data, including malware samples, NetFlow data, cyber security training runs and tests, and more.
Requirements:
Knowledge, Skills and Abilities:
Desired Experience:
Why work here?
Location
Pittsburgh, PAJob Function
Software/Applications Development/EngineeringPosition Type
Staff – RegularFull time/Part time
Full timePay Basis
SalaryPlease visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
Click here to view a listing of employee benefits
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.