Manufacturing Engineer - AI-Driven Process Optimizer

Super Steel, LLC

Mequon (WI)

On-site

USD 70,000 - 95,000

Full time

14 days+

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Benefits offered by this job

ICHRA Health Coverage

Vision & Dental Insurance

Disability & Life Insurance

FSA

Paid Holidays

401(k) Retirement Plan

PTO

Job summary

Super Steel, LLC in Mequon, WI is seeking an experienced Manufacturing Engineer to drive productivity, quality, and cost improvements on the shop floor. You will lead time studies, process improvements, and apply AI-driven optimization to production planning and scheduling.

Join a team focused on lean methods, continuous improvement, and advanced manufacturing technologies in a heavy fabrication setting. This role emphasizes collaboration across production, maintenance, quality, and engineering

Qualifications

Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, or related field (or equivalent experience).
3+ years’ hands-on experience in a metal fabrication or sheet metal environment.
Demonstrated experience performing time studies/time trials and establishing work standards.
Proven track record in process improvement and continuous improvement.
Experience applying AI/ML tools or optimization algorithms to manufacturing problems (scheduling, predictive maintenance, quality analytics).
Familiarity with CAD/CAM, nesting software, ERP/MRP systems, and PLC/automation basics.
Excellent problem-solving, project management, and communication skills.
Ability to work on the shop floor in a heavy industrial environment.

Responsibilities

Conduct time trials/time studies and establish work standards, takt time, and labor standards for production operations.
Analyze and optimize manufacturing processes to reduce cycle time, scrap, rework, and operating cost.
Lead continuous improvement projects using Lean, Kaizen, 5S, and Six Sigma methodologies.
Implement and evaluate AI-based optimization tools for production scheduling, throughput optimization, predictive maintenance, and quality control.
Develop process documentation: work instructions, SOPs, process flow diagrams, and PFMEAs.
Collaborate with production, maintenance, quality, and engineering teams to resolve bottlenecks and technical issues.
Perform capacity planning and line balancing; recommend equipment, fixturing, tooling, and layout changes.
Monitor KPIs (OEE, cycle times, first-pass yield, scrap rates) and report improvements.
Support new product introductions and prototype-to-production transitions with manufacturing feasibility studies and process validation.
Train and mentor operators and supervisors on new standards and continuous improvement practices.
Ensure compliance with safety and environmental regulations in a heavy fabrication environment.