Cryptanalytic Computer Scientist

Founded in 2007 and headquartered in Columbia, Maryland, Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The company leverages its expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high-level decision makers that enhance our nation’s security.

In an ultra-competitive environment, Synergy ECP has thrived by adhering to our name, making sure excellence is displayed by our Employees, to our Customers and by Improving Performance (ECP).

It’s what sets us apart, enabling us to be an autonomous yet agile business that delivers huge results - showing we’re ready to meet our customers’ evolving demands.

Synergy ECP has earned a client list that includes numerous Fortune 100 companies, in addition to multiple branches of the US government and military services.

Synergy ECP is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected class.

Requirements

• A Bachelor’s degree and 5 years of relevant experience or a Master’s degree plus 3 years of relevant experience or a Doctoral degree and 2 years of relevant experience. An Associate’s degree plus 7 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
• 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).
• Relevant experience must be in a computer science area (i.e., theoretical or applied), designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g., algorithm development) to study issues and solve problems, engineering (electrical or computer), and/or high performance computing.