Software Engineer - Factory Intelligence
About The Position
Raytheon’s Data, Analytics, and AI organization is seeking a hands-on Software Engineer for its Factory Analysis Software Tools (FAST) team. The role builds applications and data-driven tools that help engineering and factory teams understand how products are built and tested. The tools turn complex manufacturing and test data into useful insights for Engineering, Operations, and Quality, supporting production investigations, identification of process variation, improved test yields, and faster decision-making. This practical development role works directly with engineers and factory stakeholders to understand their needs, design solutions, and deploy tools in active production environments. The work spans web applications, Python-based data processing, databases, APIs, data visualization, and statistical analysis tools. The position is hybrid and based in Tucson, Arizona, with onsite work typically required one to three times per month depending on project needs, including work in factory or classified environments. Up to 10% domestic travel may be required.
Requirements
- University degree or equivalent experience and at least 5 years of relevant experience, or an advanced degree in a related field and at least 3 years of experience.
- Professional software development experience using at least one programming language such as Python, Java, C#, JavaScript/TypeScript, Perl, C, or a similar language.
- Experience developing, testing, debugging, and maintaining software applications.
- Experience collaborating to solve technical problems and deliver software solutions.
- U.S. citizenship and ability to obtain and maintain a U.S. government-issued security clearance; an active and transferable clearance is required prior to start, with ability to obtain an interim clearance also required prior to start.
Nice To Haves
- Python development, particularly for data processing, automation, or analytical applications.
- Web application development using Angular, React, or similar technologies.
- REST APIs and application integration.
- Relational databases and SQL, including Microsoft SQL Server, MariaDB, or other ANSI SQL-based systems.
- Database design and software architecture principles.
- Data visualization or development of analytical applications.
- Statistical analysis or experience with Minitab, R, JMP, or SAS.
- Experience in manufacturing, engineering, test, quality, or other technical data environments.
- Knowledge of statistical process control, Lean manufacturing, or Six Sigma concepts.
- Automated testing, source control, CI/CD, or other modern software development practices.
- CompTIA Security+ certification or experience working in secure computing environments.
- Curiosity, collaboration, comfort working directly with users, willingness to learn unfamiliar systems, and ability to turn loosely defined needs into practical software solutions.
Responsibilities
- Design, develop, test, and maintain applications that help users explore and understand factory and test data.
- Develop data visualization and analytical tools that make complex manufacturing data easier to interpret.
- Build Python and other software solutions to transform, standardize, and analyze data from engineering and test systems.
- Develop and integrate applications with relational databases, APIs, and other enterprise systems.
- Work with engineers, factory personnel, and other stakeholders to understand problems and develop effective software solutions.
- Troubleshoot software, data, and process issues in production environments.
- Contribute to application architecture, technical design, code reviews, and team development practices.
- Learn the manufacturing and test processes behind the data and identify opportunities for new capabilities.
- Collaborate within an Agile software development team to deliver practical solutions to technical problems.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Short-term disability
- Long-term disability
- 401(k) match
- Flexible spending accounts
- Flexible work schedules
- Employee assistance program
- Employee Scholar Program
- Parental leave
- Paid time off
- Holidays
- Potential annual short-term and/or long-term incentive compensation, subject to eligibility and applicable factors
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
