Continuous Improvement Manufacturing Engineer

Bolzoni, Inc; Sulligent (AL); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Life insurance

401(k)

Profit sharing

Job summary

Bolzoni North America in Sulligent, AL is seeking a Continuous Improvement Manufacturing Engineer to drive process improvements across the manufacturing value stream. You will partner with production, quality, maintenance and engineering to improve safety, quality, delivery, productivity and cost performance while supporting new product introductions and digital manufacturing initiatives.

The role focuses on lean and Six Sigma projects, automation and robotics, and using AI-enabled tools to

Qualifications

• Bachelor's degree in Engineering or related technical field.
• 5+ years of relevant manufacturing experience (if Associate's degree).
• Experience with Lean Manufacturing and structured problem solving.
• Strong analytical, organizational and communication skills.
• Ability to work cross-functionally and independently.
• Knowledge of automation, robotics, PLCs and machine controls.
• Experience with time studies and Six Sigma methodologies.
• Experience with AI tools and data-driven decision-making.

Responsibilities

• Troubleshoot and resolve production issues in day-to-day operations.
• Identify and implement continuous improvement opportunities using Lean, Six Sigma, Poka-Yoke.
• Evaluate manufacturability and assembly efficiency of products/processes.
• Develop and improve processes, tooling, instructions, and production docs.
• Support automation, robotics, and digital manufacturing initiatives.
• Lead CI tools (FMEA, Control Plans, MSA, GPS, 6σ) and NPI projects.
• Maintain engineering changes, routing, tooling records, and quality docs.
• Utilize AI-enabled tools to improve analysis and decisions.

Skills

Lean Manufacturing

Six Sigma

Poka-Yoke

Cross-functional teamwork

Analytical thinking

Time management

Communication

Independent work

Automation

Robotics

AI data analysis

Education

Bachelor's degree in Engineering

Associate's degree + 5+ years experience

Tools

PLC programming

Automation systems

Robotics hardware

Data analytics software

Job description

Job Title: Continuous Improvement Manufacturing Engineer

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

Job Type: Permanent

Time Type: Full time

Work Hours: 40

Travel Required: No

Primary Location: Bolzoni US Sulligent, AL

Address: 7711 US Highway 278

Zip Code: 35586

Field-Based: No

No Relocation Assistance Available

We are an equal opportunity employer with an excellent benefit package including medical, dental and life insurance, 401(k) and profit sharing.

EOE/Minorities/Females/Veterans/Disabled

Hyster-Yale Materials Handling, Inc., is a global leader dedicated to advancing the materials handling industry. We design, engineer, manufacture, sell and service a comprehensive line of lift trucks, attachments and power and technology solutions, marketed primarily under the Hyster® and Yale® brand names. As one of the largest lift truck manufacturers, Hyster-Yale is not only committed to transforming the way the world moves materials from Port to Home, but also delivering optimal solutions that meet our customers’ needs while ensuring outstanding customer care. Our achievements are driven by our people, our strong culture and commitment to our values, which are founded on a philosophy of integrity, respect and excellence. At Hyster-Yale, you can feel the loyalty from the inside out.