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# Cryptanalytic Computer Scientist 2

- **Company:** GRVTY, LLC
- **Location:** Augusta, GA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Computer Engineering, Information Technology
- **Published:** August 11, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3351612231&tx=KP7575FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

GRVTY is seeking experienced Cryptanalytic Computer Scientists who can apply their expertise in computer science, mathematics, and engineering to design, develop, and evaluate algorithms and techniques for solving complex cryptographic and security-related problems., * Active TS/SCI with polygraph clearance.

 * Doctoral degree plus 2 years of relevant experience.
 * Master's degree with 3 years of relevant experience
 * Bachelor's degree with 5 years of relevant experience.
 * Associates degree with 7 years of relevant experience.
 * Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics (including Applied Math); or a related field (i.e., other Engineering or Math) with at least one programming and at least four upper-level math classes (Calculus and above).

## Description

* Create and utilize mathematical models and methods to study cryptographic systems, analyze vulnerabilities, and develop solutions to secure sensitive information.
 * Work on high-performance computing projects to optimize cryptographic processes and address security challenges across diverse computing environments.
 * Design, develop, and evaluate algorithms and techniques for solving complex cryptographic and security-related problems.
 * Create and utilize mathematical models and methods to study cryptographic systems, analyze vulnerabilities, and develop solutions to secure sensitive information.
 * Work on high-performance computing projects to optimize cryptographic processes and address security challenges across diverse computing environments.


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