Software Engineer

For more than 70 years, The Johns Hopkins University Applied Physics Laboratory (APL) has provided critical contributions to critical challenges with systems engineering and integration, technology research and development, and analysis. Our scientists, engineers, and analysts serve as trusted advisors and technical experts to the government, ensuring the reliability of complex technologies that safeguard our nation’s security and advance the frontiers of space.

Develop next generation software in support of Trident weapon system data analysis.

* Design, develop and implement new software, and create solutions in existing software to meet upcoming instrumentation data recording challenges. Develop software to process onboard submarine recordings of shipboard data into data products to be used by the Trident analysis community. (80%) * Perform systems analysis and software concept-to-delivery design processes (requirements, detailed design, implementation, test, configuration management and documentation). (20%)

**Required Qualifications:** * BS degree in a Science, Technology, Engineering and Math (STEM) field, plus at least 3 years' relevant experience * Strong skills in software engineering * Experience developing in Microsoft Visual Studio, C++, C#, and/or .Net * Experience with implementing best practices for source control, change control, and release management * Expert verbal and written communication and interpersonal collaboration skills; must work effectively as a team player in a large technical team environment * Expert time management, organization, and planning skills **Desired Qualifications:** * Dual major or minor in technical fields. MS in computer science or computer engineering. * Interest in data science. * Wide knowledge of programming fundamentals (computer science, algorithms, database design, data structures) * Experience with SQL Server or Matlab * Experience with unit and/or automated testing frameworks * Understanding of Databases and Data Modeling * Experience with data reduction and data analysis. * Effective analytical, problem-solving and decision-making skills to lead small teams in developing creative solutions to complex problems.