SOFTWARE DEVELOPER - 2026216CHA207 - NNL - Schenectady, NY

The Core Analysis Process System (CAPS) Project is looking to hire a software developer with a passion for developing and implementing complex software solutions for scientific and engineering problems on high performance supercomputing systems. The project works directly with our engineers to provide common software engineering solutions for the reactor design community, applicable to all naval nuclear core designs. The project focuses on the ability to provide robust, user friendly, automated tools to evaluate thermal hydraulic and reactor performance design conditions., Depending on the background of the individual, near-term work assignments may include designing, developing, testing, verifying, and maintaining engineering software or porting engineering software to modern computing architectures. Work will be largely focused on problem solving; software systems architecture, scientific programming; and requirements gathering across application developers, engineering users, and system administrator groups. Application areas include nuclear reactor physics, reactor thermal performance and casualty analysis, and data science.

Education: BS degree in engineering or bachelor's degree in a science related field from an accredited college or university and a minimum of four years of relevant experience; and Strong programming skills with compiled (e.g., Java, C, C++ or Fortran) and/or interpreted (e.g., Python) scientific computing languages., Area Security Access: Candidates must have an active DOE "L" security clearance., Demonstrated experience with all aspects of software architecture (design, implementation, testing, maintenance, configuration management) Experience with client-server software systems used across multiple operating environments (e.g. Windows, Linux) Experience with Java Swing Experience with Graphical User Interface Parallel programming and running parallel jobs on supercomputing systems Experience functioning within an agile development methodology Ability to work effectively across multiple projects simultaneously Demonstrated ability and passion for developing scientific software Capacity to work independently, as well as within interdisciplinary teams with minimal supervision

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