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Cryptanalytic Computer Scientist 3

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Onsite

Cryptanalytic Computer Scientist 3

GRVTY

Cryptanalytic Computer Scientist 3

Skills

PythonData Analysis

2 months ago

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Important information


Location:

Fort Meade, MD, USA

Work mode:

Onsite

Published on:

11 August 2026

What they need


What Impact You'll Have

GRVTY is seeking experiences Cryptanalytic Computer Scientist 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.

What You'll be Owning

  • 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.
  • Building and maintaining data analytics.
  • Data evaluation, enrichment, and processing for relevant datasets.

What You Must Have

  • Active TS/SCI with polygraph clearance.
  • Doctoral degree plus 4 years of relevant experience.
  • Master's degree plus 6 years of relevant experience.
  • Bachelor's degree with 8 years of relevant experience.
  • Associates degree with 10 years of relevant experience.
  • 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 in computer science area (i.e. theoretical or applied), designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g. algorithm or development) to study issues and solve problems, engineering (electrical or computer), and/or high-performance computing.
  • Knowledge of Python, Spark, C++, XKS (with FPs, and MPs).

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