Software Engineer, Senior

• Designing, developing, testing, deploying, and sustaining software applications, services, APIs, command-line tools, and supporting infrastructure
• Architecting and implementing DevSecOps, CI/CD, automated testing, and software release pipelines; developing simulation and digital engineering capabilities to support modeling, performance assessment, synthetic data generation, and large-scale automated testing
• Building and maintaining mission data ingestion, processing, annotation, storage, and analytics pipelines
• Developing machine learning and computer vision support capabilities, including model training, evaluation, data labeling, and automation frameworks
• Creating post-mission analysis, performance assessment, fault analysis, visualization, and reporting tools
• Integrating software across autonomous platforms, mission systems, simulation environments, and government applications
• Supporting high-performance computing, cloud, embedded, ARM, x86, Linux, and containerized computing environments; managing software repositories, configuration management processes, and distributed development architectures
• Implementing software quality assurance, cybersecurity, and secure software development practices
• Developing technical documentation, deployment procedures, engineering standards, and transition packages
• Supporting experimentation, demonstrations, flight tests, operational assessments, and technology transition activities
• Providing technical leadership, mentoring, and knowledge transfer; and identifying opportunities to automate processes, improve development efficiency, enhance software quality, and accelerate the fielding of advanced capabilities.

Work requires expertise in software engineering methodologies;

• Python, C++, Bash, and scripting languages; ROS/ROS2, Git, GitLab, and source code management, Docker, containerization, and virtualization technologies, CI/CD pipeline development;
• Linux and embedded systems engineering, cloud and high-performance computing environments, machine learning operations (MLOps), computer vision and sensor data exploitation, data engineering, analytics, and visualization, simulation and modeling tools
• Software architecture and systems integration; automated testing and validation, cybersecurity and secure coding practices, database and object storage technologies;
• Agile software development methodologies, and technical analysis supporting autonomous, artificial intelligence, and research systems.

Certifications: DoD 8570/8140 certification appropriate to assigned duties; applicable technical/baseline certifications as required Education: Bachelor’s degree, in Computer Science, Software Engineering, Computer Engineering Information Technology, Information Systems, or a related technical discipline

• With eight (8+) years of progressively responsible software engineering/application development experience; or twelve (12+) years of directly relevant software engineering, application development, integration, and sustainment experience may be considered in lieu of a degree.