Manufacturing CI Engineer - Lean, Automation & AI

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.