Process Engineer

Employbridge; New Albany (IN); On-site; USD 70,000 - 95,000; Full time

Job summary

Employbridge is seeking a Process Engineer to evaluate and optimize manufacturing processes within an assembly environment. You will lead experiments, establish process parameters, and implement improvements to raise yields and lower costs.

The role requires a Bachelor’s in Engineering (Industrial/Manufacturing/Mechanical), 3–5+ years in process engineering, and proficiency with DOE, Six Sigma, and data analysis tools such as Minitab or JMP.

Qualifications

• Bachelor's degree in Engineering (Industrial, Manufacturing, Mechanical, or related discipline) required.
• Equivalent technical or engineering experience may be considered in place of a degree.
• 3 to 5+ years of experience in Process Engineering, manufacturing, product development, or complex assembly environments.
• Strong computer skills with proficiency in Microsoft Office (Excel, Word, PowerPoint, Outlook).
• Strong analytical, troubleshooting, and problem-solving abilities with a continuous improvement mindset.
• Excellent written and verbal communication skills with the ability to work effectively across cross-functional teams.
• Experience with data analysis software such as Minitab or JMP preferred.
• Six Sigma certification or demonstrated problem-solving methodology experience is highly desirable.

Responsibilities

• Lead and execute experiments to identify key process variables using Design of Experiments (DOE) methodologies and other analytical tools.
• Develop standard manufacturing best practices, process parameters, process windows, and work instructions that improve the assembly process.
• Apply Six Sigma DMAIC methodologies to identify root causes and implement effective process improvements.
• Conduct process capability studies using statistical methods to verify process performance against key requirements.
• Develop process readiness criteria to ensure products and assembly processes are prepared for full-volume production.
• Provide technical guidance, direction, and support to engineering and operations teams to improve manufacturing performance.
• Collect, analyze, and interpret data from technical and production teams.
• Lead and track yield investigations from initial identification through root cause analysis and corrective actions.
• Present yield and process performance results to cross-functional teams with varying levels of technical expertise.
• Develop tools, methods, and resources that support higher yields and improved process consistency.
• Perform engineering calculations utilizing principles of physics, mathematics, and engineering design for processes and equipment.
• Support incident investigations by evaluating manpower, methods, machines, materials, and measurement systems, documenting findings, root causes, and corrective actions.
• Research and develop new manufacturing methods and technologies to support long-term process advancement.

Skills

DOE

Six Sigma DMAIC

Process capability

Data analysis

Cross-functional teamwork

Communication skills

Education

Bachelor's degree in Engineering (Industrial, Manufacturing, Mechanical, or related discipline)

Equivalent technical or engineering experience

3 to 5+ years of experience in Process Engineering, manufacturing, product development, or complex assembly environments

Strong computer skills with Microsoft Office

Strong analytical, troubleshooting, and problem-solving abilities

Excellent written and verbal communication skills

Experience with Minitab or JMP

Six Sigma certification or demonstrated problem-solving methodology experience

Tools

Minitab

JMP

Job description

The Process Engineer evaluates existing processes and configures manufacturing systems to reduce costs, improve sustainability, enhance quality, and develop best practices within the assembly production environment. The primary focus of this role is maintaining safe, reliable manufacturing systems while improving production rates, efficiency, yields, costs, and changeover performance.

Responsibilities

• Lead and execute experiments to identify key process variables using Design of Experiments (DOE) methodologies and other analytical tools.
• Develop standard manufacturing best practices, process parameters, process windows, and work instructions that improve the assembly process.
• Apply Six Sigma DMAIC methodologies to identify root causes and implement effective process improvements.
• Conduct process capability studies using statistical methods to verify process performance against key requirements.
• Develop process readiness criteria to ensure products and assembly processes are prepared for full-volume production.
• Provide technical guidance, direction, and support to engineering and operations teams to improve manufacturing performance.
• Collect, analyze, and interpret data from technical and production teams.
• Lead and track yield investigations from initial identification through root cause analysis and corrective actions.
• Present yield and process performance results to cross-functional teams with varying levels of technical expertise.
• Develop tools, methods, and resources that support higher yields and improved process consistency.
• Perform engineering calculations utilizing principles of physics, mathematics, and engineering design for processes and equipment.
• Support incident investigations by evaluating manpower, methods, machines, materials, and measurement systems, documenting findings, root causes, and corrective actions.
• Research and develop new manufacturing methods and technologies to support long-term process advancement.

Required Experience & Education

• Bachelor's degree in Engineering (Industrial, Manufacturing, Mechanical, or related discipline) required.
• Equivalent technical or engineering experience may be considered in place of a degree.
• 3 to 5+ years of experience in Process Engineering, manufacturing, product development, or complex assembly environments.
• Strong computer skills with proficiency in Microsoft Office (Excel, Word, PowerPoint, Outlook).
• Strong analytical, troubleshooting, and problem-solving abilities with a continuous improvement mindset.
• Excellent written and verbal communication skills with the ability to work effectively across cross-functional teams.
• Experience with data analysis software such as Minitab or JMP preferred.
• Six Sigma certification or demonstrated problem-solving methodology experience is highly desirable.