Aerospace Manufacturing Engineer II: Lean, Six Sigma & Yield

Honeywell Aerospace; Olathe (KS); On-site; USD 75,000 - 110,000; Full time

Job summary

Honeywell Aerospace's Advanced Manufacturing team in Kansas is seeking an Engineer II to shape manufacturing processes for aerospace electronics. You will determine parts and tools, analyze workflow, and support daily production to drive producibility improvements.

The role emphasizes Lean, Six Sigma, and data-driven decisions to reduce cycle time and cost while sustaining high quality in a fast-paced environment.

Qualifications

• Bachelor's degree in a technical discipline such as Engineering, Physics, or Mathematics.
• 2+ years of manufacturing engineering experience.

Responsibilities

• Provide test and manufacturing support for aerospace electronic production lines.
• Perform yield and performance data analysis to monitor process capability and product health trends.
• Utilize CAMP, Lean, and Six-Sigma methodologies to govern engineering standard work practices.
• Investigate and resolve technical issues, facilitate issue identification and analysis.
• Help grow capacity by reducing cycle time, incorporating new capital equipment, and improving yield.
• Develop improvements in product design and in the manufacturing and assembly processes for cost and cycle time reductions.
• Assist development of new processes for new products.
• Support knowledge for test equipment and preventative maintenance plans to maintain factory capacity and efficient product flow.
• Facilitate a self-driven work force culture to achieve RTY, BIQ, COPQ, and other SQDIC goals.

Skills

Manufacturing experience

Education

Bachelor's degree in Engineering, Physics, or Mathematics

Job description

Honeywell Aerospace's Advanced Manufacturing team in Kansas is seeking an Engineer II to shape manufacturing processes for aerospace electronics. You will determine parts and tools, analyze workflow, and support daily production to drive producibility improvements.

The role emphasizes Lean, Six Sigma, and data-driven decisions to reduce cycle time and cost while sustaining high quality in a fast-paced environment.