Product Development Engineer: Soft Magnetic Materials

Carpenter Technology USA; Talmage (PA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

Job summary

Carpenter Technology Corporation in the United States seeks a Product Development Engineer for the Motor Technology Center to lead and support development of soft magnetic materials and stack performance for advanced electromagnetic applications.

The role collaborates with cross-functional teams, analyzes material properties, interfaces with customers, and drives product value proposition through testing and data analysis in a production environment.

Qualifications

• Experience with soft magnetic alloys and lamination stack design.
• Familiarity with ASTM, IEC, IEEE and MIL specs is a plus.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication and teamwork.

Responsibilities

• Lead product development and qualification for soft magnetic materials and stacks.
• Interface with customers to understand requirements and provide technical support.
• Analyze core loss, permeability, and induction data to guide material selection.
• Document designs and testing in accordance with standards.
• Collaborate with engineering and manufacturing to implement process improvements.
• Support cost reduction initiatives and continuous improvement efforts.

Skills

Magnetic materials

Data analysis

Cross-functional collaboration

Project management

Customer interfacing

Education

Bachelor’s degree in Materials Science, Electrical Engineering, Physics or related field

Master’s degree preferred

Job description

Carpenter Technology Corporation in the United States seeks a Product Development Engineer for the Motor Technology Center to lead and support development of soft magnetic materials and stack performance for advanced electromagnetic applications.

The role collaborates with cross-functional teams, analyzes material properties, interfaces with customers, and drives product value proposition through testing and data analysis in a production environment.