What You’ll Do
Apply state-of-the-art approaches to understanding systemic vulnerabilities in software systems and how attackers adapt their tradecraft to exploit those vulnerabilities
Evaluate the effectiveness of tools, techniques, and processes developed by industry and the security research community
Develop models, tools, and data sets that can be used to characterize the threats to—and vulnerabilities in—software systems, and publish those results
Develop machine learning-based prototypes, products, and tools to solve and automate solutions to AI-related security problems
Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team.
Who You Are
Mission-Driven Curiosity: You are deeply interested in cybersecurity, AI, and automation, and you want your work to have impacts beyond your organization. You pick up new technologies and domains quickly and adapt as the threat landscape changes.
AI and Vulnerability Research Expertise: You have hands-on experience in AI-based research, vulnerability research and analysis, and statistical modeling. You understand rigorous research methods in computer science, engineering, security, AI, and related fields, as well as of internet fundamentals including network protocols, provider operations, and governance.
Applied AI/ML Engineering: You have experience developing software in Python and other modern languages, and you've built AI/ML solutions that work outside the lab. You know what it takes to get from prototype to something people actually use.
Security and Internet Fundamentals: You know cybersecurity best practices and have a strong grasp of how the internet works, including network protocols, provider operations, and governance. That foundation lets you see where AI systems connect with real-world infrastructure and risk.
Trusted Technical Advisor: You give sound advice on a range of security topics, grounded in research and expert judgment. You explain complex technical approaches clearly, in writing and in person, to managers, technical staff, and customers alike.
Collaborative and Discreet Professional: You work collaboratively and diplomatically with people inside and outside the organization. You plan and organize complex projects, and you handle confidential and sensitive information with care.
Requirements
BS in computer science, machine learning, cybersecurity, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in the same fields with two (2) years of experience
You have a willingness to travel (25%) outside of your office location to other SEI offices, sponsor sites, conferences, and offsite meetings.
You will be subject to a background investigation, and you must have the ability to obtain and maintain a Department of War security clearance.
Location
- Arlington, VA, Pittsburgh, PA
- Job Function
- Software/Applications Development/Engineering
- Position Type
- Staff – Regular
- Full time/Part time
- Full time
- Pay Basis
- Salary
- More Information:
Please 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.
Statement of Assurance
