Senior Advanced Manufacturing Engineer: NC & Lean (Onsite)

Honeywell Aerospace US LLC in; Torrance (CA); On-site; USD 120,000 - 177,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) match

FSAs/HSA

Parental leave

Paid time off

Paid holidays

Job summary

Honeywell is seeking an Advanced Manufacturing Engineer Senior (Finance) to optimize production processes and drive continuous improvement at the Torrance, CA site. You will lead NC programming, apply lean manufacturing principles, and collaborate with cross-functional teams to achieve operational excellence.

The role requires expertise in NX programming, Vericut, and GD&T, with a focus on data-driven optimization and mentoring of staff.

Qualifications

• Bachelor's degree in a technical discipline such as STEM.
• Experience with NC programming, process optimization, and lean manufacturing.
• Proficiency in NX programming and Vericut verification software.

Responsibilities

• Lead advanced machining processes to ensure quality and efficiency.
• Develop and implement NC programs to optimize production.
• Collaborate to identify and apply advanced manufacturing technologies.
• Analyze manufacturing data to identify improvements and cost savings.
• Ensure safety and regulatory compliance; mentor team members.

Skills

NC programming

Process optimization

Lean manufacturing

NX programming

Vericut

GD&T

Data analysis

Statistical process control

Problem-solving

Project execution

NX CAD

Education

Bachelor's degree in a technical discipline

Tools

NX CAD

NX programming software

Job description

Honeywell is seeking an Advanced Manufacturing Engineer Senior (Finance) to optimize production processes and drive continuous improvement at the Torrance, CA site. You will lead NC programming, apply lean manufacturing principles, and collaborate with cross-functional teams to achieve operational excellence.

The role requires expertise in NX programming, Vericut, and GD&T, with a focus on data-driven optimization and mentoring of staff.