Industrial Engineer — Lean & Throughput Improvement

Axiom; West Columbia (SC); On-site; USD 70,000 - 95,000; Full time

Job summary

Axiom builds the digital and electrical infrastructure powering the AI era in Columbia, SC. The Industrial Engineer will focus on increasing productivity by optimizing work methods, layouts and processes across manufacturing and testing activities.

Reporting to the Business Excellence Leader, you will estimate times, support NPI process planning, review prototypes, and drive lean, automation and Six Sigma initiatives to improve throughput and reduce waste.

Qualifications

• Typically requires 4 years of experience in engineering in the high technology electronics industry or related area.
• Demonstrates advanced functional and technical skills and basic process skills.
• Ability to read, analyze and interpret common scientific and technical journals.
• Ability to write reports, business correspondence and procedure manuals.
• Ability to effectively communicate with managers and employees of the organizations.

Responsibilities

• Provides process time estimation to the quote team.
• Simulates process, materials and manufacturing workflow and gives input to process engineer using REFA, MOST, WITNESS or adequate tools.
• Coordinates process planning and setup with respect to takt, cycle time and direct labor requirement for NPI.
• Reviews results during prototyping and trial runs and provides feedback to NPI and sales.
• Examines staff utilization, facility layout, and operational data to define efficient utilization of workers and equipment.
• Recommends methods for improving worker efficiency and reducing waste of materials and utilities.

Job description

Axiom builds the digital and electrical infrastructure powering the AI era in Columbia, SC. The Industrial Engineer will focus on increasing productivity by optimizing work methods, layouts and processes across manufacturing and testing activities.

Reporting to the Business Excellence Leader, you will estimate times, support NPI process planning, review prototypes, and drive lean, automation and Six Sigma initiatives to improve throughput and reduce waste.