Onsite Process Engineer — Lean Manufacturing & Innovation

Marvin Engineering Company

Inglewood (CA)

On-site

USD 95,000 - 130,000

Full time

14 days+

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Job summary

Marvin Engineering (MEC) in Southern California near the Los Angeles International Airport is seeking a Process Engineer to optimize and improve manufacturing processes. You will collaborate with design, manufacturing, quality, and procurement to implement process improvements and new technologies.

The role requires 5+ years in engineering or manufacturing, a Bachelor’s degree, and strong SAP/MRP experience.

Qualifications

Bachelor’s degree in Engineering with 5+ years of engineering, manufacturing or data analysis experience.
Ability to work on manufacturing and/or assembly floor.
Technical proficiency in complex manufacturing activities.
Experience with MRP/ERP software.
Proficient understanding of Project Management.
Detail oriented and adaptable.
Must be able to speak/read/write English.
Must be able to lift up to 35 lbs.

Responsibilities

Analyzing and improving existing manufacturing processes to increase safety, efficiency and quality, while reducing costs.
Identifying, evaluating, and implementing new technologies to improve manufacturing processes.
Performing failure analysis, and implementing corrective and preventative actions.
Working closely with design engineers, manufacturing engineers, quality engineers, procurement, and other stakeholders to ensure smooth production operations.
Providing hands-on support on the shop floor, integrating new products & technologies, and supporting area-wide continuous improvement initiatives.
Participating in continuous improvement initiatives to enhance quality, reduce waste, and improve overall production performance.
Providing training and support to end-users on new products, processes, equipment, and technologies.
Investigating and resolving production issues related to materials and processes, ensuring robust and cost-effective solutions.
Establishing metrics, collecting and analyzing data, and using statistical process control to monitor process performance and identify improvement opportunities.
Utilize SAP to model, analyze, and improve business processes.