Job DescriptionSALARY RANGE $86,000 - $143,000/year
DUTIES As a successful candidate for the Cryptologic Computer Scientist II role, you will design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework. The solutions may arise in the form of forensics and attack attribution, protection of critical networks, active systems warnings and indicators, active penetration into target systems, knowledge discovery of passive and active systems, or other cryptologic computer science mission support.
Required SkillsSKILLS Requisite computer science skills such as
- Operating systems
- Compiler theory
- Database theory
- Algorithm analysis
- Computer architecture
- Discrete math
- Programming language theory
- Data structures
Are applied to each problem to provide state-of-the-art techniques, tools, and approaches.
QUALIFICATIONS A Doctoral degree plus 2 years of relevant experience, a Master's degree with 3 years of relevant experience, a Bachelor's Degree with 5 years of relevant experience, Associate's degree with 7 years of in-depth relevant experience that is clearly related to the position is required. Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field with at least one programming and at least 4 upper-level math classes (Calculus and above). Relevant experience must be in a computer science area (i.e. theoretical or applied), simulation/model development, designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g. algorithm or development) computation science, algorithm analysis and design, reverse engineering, and/or designing/developing computer and information systems, including engineering hardware and/or software.
- Hybrid Technical Domain Expertise: Demonstrated experience bridging computer science fundamentals with cyber threat analysis and target discovery.
- Programming & Big Data Frameworks: Hands-on proficiency in Python and experience processing large-scale data using Apache Spark (PySpark).
- Network & Protocol Depth: Strong background in network traffic analysis, packet inspection (PCAPs), and protocol analysis.
- Customer Tooling: Familiarity with customer/IC exploitation and triage tools (e.g., XKEYSCORE, DataXplorer, DNI Presenter).
- Analytical Mindset: An inquisitive, discovery-focused mindset with proven problem-solving drive for uncovering unknown threats and target activities.
