Software Engineer - Factory Intelligence

RTX•Andover, MA

7d•$86,800 - $165,200•Hybrid

About The Position

Raytheon’s Data, Analytics, and AI organization is seeking a hands-on Software Engineer – Factory Intelligence to build applications and data-driven tools that help our engineering and factory teams better understand how products are built and tested. As a member of the Factory Analysis Software Tools (FAST) team, you will develop software that turns complex manufacturing and test data into meaningful insights for Engineering, Operations, and Quality. The tools you create will support investigations into production issues, reveal sources of process variation, improve test yields, and enable teams to make faster, more informed decisions. This is a practical, hands-on development role with a direct connection to real manufacturing challenges. You will collaborate closely with engineers and factory stakeholders to understand their needs, design effective solutions, and see your work put into use across active production environments. You’ll work across a diverse set of technologies, including web applications, Python-based data processing, databases, APIs, data visualization, and statistical analysis tools. You do not need to be an expert in all of these areas on day one—we’re looking for a strong software developer who enjoys learning new technologies and solving meaningful technical problems that make a tangible impact. This role provides an opportunity to work across both software engineering and data analytics while building tools that have a direct impact on manufacturing operations. This is a hybrid role based in Andover, Massachusetts. Onsite work is typically required 1 to 3 times per month depending on project needs, including work that must be performed in factory or classified environments. Up to 10% domestic travel may be required.

Requirements

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 working collaboratively to solve technical problems and deliver software solutions
U.S. Citizen - The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Nice To Haves

Python development, particularly for data processing, automation, or analytical applications
Web application development using frameworks such as 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 tools such as Minitab, R, JMP, or SAS
Manufacturing, engineering, test, quality, or other technical data environments
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
Successful candidates will be curious, collaborative, and comfortable working directly with users to understand their problems. They should enjoy learning unfamiliar systems, working through complex technical issues, and turning 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 a variety of engineering and test systems
Develop and integrate applications with relational databases, APIs, and other enterprise systems
Work directly with engineers, factory personnel, and other stakeholders to understand problems and turn them into 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 use that knowledge to identify opportunities for new capabilities
Work collaboratively within an Agile software development team to deliver practical solutions to challenging technical problems