Description:
The Manufacturing Software Research Engineer plays a key role in designing, developing, and integrating software systems for advanced manufacturing research, with a strong focus on machine learning, data science, and sensor integration. The engineer will work on internal research and cooperative development projects, supporting both CCAM teams and member organizations in expanding digital manufacturing capabilities. The role combines hands-on software development with applied analytics to derive actionable insights from complex manufacturing datasets. This is a collaborative, on-site role working in a dynamic R&D setting. The Research Engineer will work closely with other Researchers and Industry Partners and must be comfortable engaging in cross-functional projects that blend software, hardware, and analytical thinking.

REQUIRED QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Engineering, or a related field.
• 3+ years of professional experience in software development, data analysis, and machine learning.
• Strong programming experience in Python and at least one of C++ or C#, JavaScript Development, TypeScript and REACT,
• Demonstrated experience in:
• Network-based data communication (TCP, APIs)
• Data visualization and analysis
• Image processing (especially with OpenCV)
• Working with 2D/3D data and time-series datasets
• Experience integrating systems using middleware (Zenoh, MQTT, DDS, or similar).
• Experience in developing software for use in production environments.
• Familiarity with Docker, databases (SQL, Influx), and data storage tools (MinIO or similar).
• Strong communication and technical presentation skills.
• Prior work in research-oriented or collaborative development environments.
• Ability to sit, stand, stoop, and lift up to 25lbs as needed.
• This position requires access to technology or intellectual property that is subject to export control requirements. Candidates must be qualified for such access without an export control license.

PREFERRED QUALIFICATIONS

• Master’s degree or Ph.D. in Computer Science, Computer Engineering, Engineering, or a related field.
• Experience with manufacturing data or hardware, particularly metal 3D printing (LPBF or DED).
• Understanding of the physical principles of additive manufacturing, including build design and part inspection.
• Experience with ROS/ROS2 or other robotic platforms.
• Experience in full stack web development, including proficiency in TypeScript, JavaScript, and Node.js.
• Understanding of modern front-end frameworks such as React.js, Vue, Angular, or Svelte.
• Familiarity with HTML5 custom elements, WebAssembly (WASM), and responsive design.
• Experience with authentication and authorization (e.g., OAuth2, SSO, JWT), RESTful and GraphQL APIs, server-side rendering, and deploying applications to cloud platforms such as AWS, GCP, or Azure.