Associate Network Security Researcher

What We Do Our team, within the Cyber Risk and Resilience Directorate researches, designs, and develops software tools for the collection, storage, and analysis of network data to provide security insights. We provide both the core network tools to facilitate this capability, and prototypes of new methods to present the data most effectively. We work with data at a scale generally not experienced by most organizations, handling record counts in the tens of billions per day. What We Do Our team, within the Cyber Risk and Resilience Directorate researches, designs, and develops software tools for the collection, storage, and analysis of network data to provide security insights. We provide both the core network tools to facilitate this capability, and prototypes of new methods to present the data most effectively. We work with data at a scale generally not experienced by most organizations, handling record counts in the tens of billions per day. Developing security insights at this scale requires creativity, efficiency, and contemporary knowledge of modern computing platforms. In some cases, the computing has outpaced the methods, and it is incumbent upon us to generate novel views of both the entire data collection, and of focused datasets tailored to specific analyst needs. Our network situational awareness security tools are published here: Position Summary As a network security researcher on the Network Situational Awareness team, you will research network threats to develop methods of detection and tailor these for partner environments. Transition of this research will take the form of developing detection capabilities, providing new requirements and feature requests for our NetSA Security tool suite, writing publications, and providing customer-specific training. The primary network data source for the team is netflow combined with application layer metadata, with an expanding focus on host-based (e.g., EDR) and cloud telemetry. You will be responsible for gaining insights from data to facilitate detections, working with partners to help them to better understand their data and researching new data sources to expand the expertise of the team. Requirements: (education/travel/background ONLY) Bachelor's Degree in Computer Science or a relevant technical discipline with three (3) years of relevant work experience; or a MS in Computer Science or a relevant technical discipline with one (1) year of relevant work experience; or a PhD in Computer Science or other relevant technical discipline. Movement between buildings within the SEI and CMU community required. Willingness to travel to various locations to support the SEI’s overall mission. This may include national travel to sponsor sites, conferences, and offsite meetings on occasion. You will be subject to a background check and will need to obtain and maintain a Department of War security clearance. Knowledge, Skills And Abilities Exposure to translating threat intelligence to avenues for research, prototyping, and curation of detection capabilities. Solid knowledge of network fundamentals, common application layer protocols, and network-based telemetry. Proficiency in at least one scripting or programming language such as Python, Go, Ruby, C, Java, or Scala. Solid problem-solving and analytical skills, detailed research, and ability to document and communicate ideas and findings to diverse audience. Desired Experience Hands-on experience in a security research, threat hunting, detection engineering, or SOC Analyst role. Some experience analyzing network telemetry such as netflow, application metadata, or PCAP from network sensors such as YAF, Zeek, Suricata, etc. Exposure to cybersecurity data science methods and practices Awareness of open-source and / or commercial Internet intelligence telemetry and datasets Awareness of the threat landscape and experience researching and investigating threats Experience presenting technical topics 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. Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance #J-18808-Ljbffr Software Engineering Institute | Carnegie Mellon University