- Map current‑state post‑harvest production and distribution processes; quantify cycle time, yield, labor, and cost drivers; and identify high‑impact improvement opportunities.
- Design future‑state workflows and facility layouts that integrate automation, robotics, and ergonomic workstations to improve throughput, quality, and safety.
- Partner with the Product Engineer to ensure new hardware, packaging, and SKUs are purpose‑built for manufacturability, automation readiness, and compliant distribution.
- Lead or support capital projects: develop business cases, create equipment specifications, manage vendors, oversee installation, and validate performance.
- Implement Lean, Six Sigma, and statistical‑process‑control methodologies; facilitate Kaizen events and coach frontline teams on best practices.
- Build digital workflows that connect ERP/MES/WMS systems with shop‑floor data to eliminate manual data entry and double entry of data.
- Conduct time studies, line balancing, and capacity modeling to support production planning and scenario analysis.
- Collaborate with QC, Packaging Supply Chain, Operations, IT, Product, and Finance to align process changes with compliance requirements, inventory control, and financial targets.
- Document standard operating procedures (SOPs) and train cross‑functional teams to ensure long‑term sustainability of improvements.
- Stay current on emerging technologies and propose pilots that advance CNDUIT's automation roadmap.
- Track and report project ROI, highlighting cost savings, productivity gains, and service‑level improvements.
- Bachelor's degree in Industrial, Mechanical, Chemical, or Manufacturing Engineering (or related field); advanced degree or professional certifications (Lean Six Sigma Black Belt, PMP) preferred.
- 4+ years of hands‑on experience improving production, packaging, or distribution processes in CPG, food/beverage, or related industries.
- Proven track record delivering cost, throughput, and quality improvements through data analysis, automation, and cross‑functional collaboration.
- Working knowledge of material‑handling equipment, PLC/SCADA systems, robotics integration, and facility layout tools (AutoCAD, Visio, etc.).
- Strong analytical skills with the ability to translate data into actionable solutions. Proficient in SQL or BI platforms (e.g., Power BI, Tableau) for building dashboards and extracting insights.
- Excellent project‑management, communication, and change‑management skills; able to influence at all organizational levels.
- Comfortable in a fast‑paced, high‑growth environment; able to manage multiple priorities and adapt to shifting regulations.
- Must be 21 years of age or older to apply.
- Must be able to work overtime and travel as needed.
- Prolonged periods sitting at a desk and working on a computer.
- Must comply with all legal and company regulations for working in the industry.
- Medical Insurance covered 75% by company
- Dental and Vision are optional
- 401K offered after initial probation period
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Manufacturing Engineer - Chicago - CNDUIT
Description
CNDUIT is redefining the future of the cannabis industry. We have evolved from a single site in Washington state to a multi-state operator with leading operations across the US. Through its establishment of leading players, CNDUIT has developed its own proprietary hardware, software, and IP platforms. Our sites have disrupted established cannabis markets by leveraging data, automation, and AI. By combining advanced cultivation practices with next-generation software, we are setting new industry standards for quality, cost, and innovation. As we transition from a cannabis operator to a scalable production technology provider, we are seeking driven, strategic individuals to help us build the future of cannabis.
About the Role
We are seeking an experienced Manufacturing Engineer to lead the continuous improvement of our post‑harvest production and distribution network. Reporting to the CTO and working in close partnership with the President, each site's Operation Director, and our Product Engineer, you will analyze, design, and optimize both physical workflows (material flow, layout, automation) and digital workflows (data capture, dashboards, and KPIs) to enable high‑volume fulfillment at the lowest possible cost. The ideal candidate blends hands‑on factory or logistics experience with strong data analytics skills and a passion for bringing scalable, automated solutions to life within a rapidly growing, highly regulated industry.
Responsibilities
Qualifications
Additional Requirements
CNDUIT is an Equal Opportunity Employer and all applicants will be considered without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status
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