Continuous Improvement Manufacturing Engineer

Hyster-Yale Materials Handling

Sulligent (AL)

On-site

USD 75,000 - 110,000

Full time

3 days ago

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Benefits offered by this job

Medical insurance

401(k) and profit sharing

Job summary

Bolzoni US Sulligent, AL is seeking a Continuous Improvement Manufacturing Engineer to lead process improvements across production lines, focusing on safety, quality, delivery, and cost reduction. You will collaborate with manufacturing, quality, maintenance, and engineering, driving automation, robotics, and digital manufacturing initiatives while using Lean and Six Sigma tools.

A strong technical degree and 3–5 years CI experience are required, with hands-on knowledge of PLCs, automation, and

Qualifications

Bachelor's or Associate degree with 5+ years manufacturing experience.
3-5 years in manufacturing, process engineering or continuous improvement.
Lean Manufacturing knowledge and structured problem-solving.
Strong organizational, analytical and time-management skills.
Ability to work effectively on cross-functional teams.
Excellent verbal and written communication skills.
Knowledge of automation, robotics, PLCs and machine controls.
Knowledge of machining, welding and assembly processes.
Experience with time studies, labor analysis and Six Sigma.
Experience with AI tools and data-driven decision-making.

Responsibilities

Troubleshoot and resolve day-to-day manufacturing issues.
Identify and implement continuous improvement opportunities using Lean, Six Sigma, Poka-Yoke and other methodologies.
Evaluate products, processes and equipment for manufacturability and efficiency.
Develop and improve processes, tooling, work instructions and production documentation.
Support automation, robotics and digital manufacturing initiatives.
Participate in CI tools such as APQP, GPS, 6σ and related tools.
Support NPI projects and capital improvement initiatives.
Research and implement new manufacturing technologies and processes.
Maintain engineering changes, process documentation, routing and tooling records.
Utilize AI-enabled tools to improve analysis and efficiency.

Skills

Lean Manufacturing

Six Sigma

Poka-Yoke

AI tools

Cross-functional teamwork

Verbal and written communication

Independent work

Automation & robotics

PLCs & machine controls

Machining, welding & assembly

Time studies & labor analysis

Education

Bachelor's or Associate degree in a technical field with 5+ years experience

Tools

Automation & robotics

PLCs & machine controls

Job description

Continuous Improvement Manufacturing Engineer

Job Category

Engineering

Job Description

Bolzoni is seeking a Continuous Improvement Manufacturing Engineer to support manufacturing operations through process improvement, automation, robotics, and digital manufacturing initiatives. This role will work closely with production, quality, maintenance, and engineering teams to improve safety, quality, delivery, productivity, and cost performance across the manufacturing value stream. The Continuous Improvement Manufacturing Engineer will drive operational improvements, support new product introductions, and implement innovative manufacturing solutions.

Key Accountabilities

Support day-to-day manufacturing operations by troubleshooting and resolving production issues.
Identify and implement continuous improvement opportunities using Lean Manufacturing, Six Sigma, Poka-Yoke, and other problem-solving methodologies.
Evaluate new and existing products, processes, and equipment for manufacturability and assembly efficiency.
Develop and improve manufacturing processes, tooling, work instructions, and production documentation.
Support automation, robotics, and digital manufacturing initiatives.
Participate in CI tools such as APQP (FMEA, Control Plans, MSA), GPS, 6σ, and other applicable tools.
Support New Product Introduction (NPI) projects and capital improvement initiatives and supports the BGPull.
Research and implement new manufacturing technologies, equipment, and process improvements.
Maintain engineering changes, process documentation, routing information, tooling records, and quality documentation.
Utilize AI-enabled tools and digital technologies to improve analysis, decision-making, operational efficiency, and continuous improvement efforts.

Minimum Qualifications

Bachelor's degree in Engineering, Engineering Technology, Manufacturing, Industrial Engineering, Mechanical Engineering, or related technical field; OR Associate's degree with 5+ years of relevant manufacturing experience.
3-5 years of manufacturing, process engineering, continuous improvement, or related experience.
Knowledge of Lean Manufacturing principles and structured problem-solving methodologies.
Strong organizational, analytical, and time-management skills.
Ability to work effectively on cross-functional teams.
Excellent verbal and written communication skills.
Ability to take initiative and work independently.
Knowledge of automation, robotics, PLCs and machine controls.
Knowledge of machining, welding, and assembly processes.
Experience with time studies, labor analysis, and Six Sigma methodologies.
Experience with AI tools and data-driven decision-making technologies.