Manufacturing Process Engineer - Optimize Production & Costs

ABB Inc.

Senatobia (MS)

On-site

USD 69,000 - 110,000

Full time

3 days ago
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Benefits offered by this job

Health benefits
401k plan
Paid holidays
Vacation policy

Job summary

ABB is seeking a Production Engineering Specialist in the United States to optimize assembly methods, processes, and equipment. You will focus on minimizing labor hours while aligning with quality, efficiency, cost, and safety targets, and define phase sequences for new processes to hit cost and investment goals.

You will identify improvement opportunities, approve process designs, support startups, and lead testing and supplier selection for new technologies to improve productivity and reduce

Qualifications

  • Bachelor's degree in Electrical, Mechanical, Automation or Production Engineering.
  • 2+ years of experience in a manufacturing environment.
  • Knowledge of continuous improvement in industrial settings.

Responsibilities

  • Identify and implement improvement opportunities within production processes, ensuring time, quality and cost targets are met.
  • Approve internal or external process designs and conduct final tests for projects.
  • Support production during start-up of processes/equipment and train maintenance and production teams.
  • Evaluate new process technologies to boost productivity, quality and cost savings.

Skills

Continuous improvement
Process optimization
Industrial engineering

Education

Bachelor's degree in Electrical, Mechanical, Automation or Production Engineering

Job description

ABB is seeking a Production Engineering Specialist in the United States to optimize assembly methods, processes, and equipment. You will focus on minimizing labor hours while aligning with quality, efficiency, cost, and safety targets, and define phase sequences for new processes to hit cost and investment goals.

You will identify improvement opportunities, approve process designs, support startups, and lead testing and supplier selection for new technologies to improve productivity and reduce

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