Software Engineer/Developer, Associate

AMERICAN SYSTEMS is an employee-owned federal government contractor supporting national priority programs through our strategic solutions in the areas of Information Technology, Test & Evaluation, Program Mission Support, Engineering & Analysis, and Training.

Conducts research in design, development, testing and utilization of electronic data processing software.
• Designs, develops, documents, tests and debugs applications software and systems that contain logical and mathematical solutions.
• Conducts multidisciplinary research and collaborates with equipment designers and/or hardware engineers in the planning, design, development, and utilization of electronic data processing systems for product and commercial software.
• Determines computer user needs; analyzes system capabilities to resolve problems on program intent, output requirements, input data acquisition, programming techniques and controls; prepares operating instructions; designs and develops compilers and assemblers, utility programs, and operating systems.
• Ensures software standards are met.
• Analyzes user needs and software requirements to determine feasibility of design within time and cost constraints.
• Confers with systems analysts, engineers, programmers and others to design system and to obtain information on project limitations and capabilities, performance requirements and interfaces.
• Designs, develops and modifies software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design.
• Coordinates software system installations and monitors equipment functioning to ensure specifications are met

• Bachelor's degree in Computer Science and 0-3 years of related work experience
• Active Secret clearance
• U.S. Citizenship Required for the purposes of obtaining/holding a U.S. security clearance
• 1 year experience in developing machine learning models.
• Proficiency in languages such as Python, R, and potentially others like C++ or Java.
• Experience in popular libraries and frameworks like TensorFlow, PyTorch, Scikit-learn.
• A strong foundation in linear algebra, calculus, and statistical modeling.
• Understanding of CI/CD, version control (Git), containerization (Docker), and infrastructure as code (IaC)