Automation Reliability Engineer - Warehouse Ops & AI

Mcmaster--carr-Supply-Company; Chicago (IL); On-site; USD 185,000 - 230,000; Full time

Job summary

McMaster-Carr, a long-standing e‑commerce leader in Chicago's distribution world, is expanding automation to improve reliability and throughput. You will contribute to material handling, controls, software, analytics, and AI across AS/RS, packaging, conveyor, and sortation systems.

The role emphasizes building standards, solving complex problems, and delivering data-driven improvements in a high‑uptime environment. Excellent communication and project execution are essential.

Qualifications

• Experience in warehouse automation and automation systems.
• Bachelor's degree in engineering or equivalent.
• Experience in fast-paced, high-uptime environments.
• Proven multi-project management experience.
• Strong communication and execution skills.
• Business and financial acumen with technical expertise.

Responsibilities

• Advance engineering projects to improve reliability and performance of automation systems.
• Define standards for new systems and improve existing ones.
• Solve complex technical problems in high-uptime environments.
• Create AI-enabled troubleshooting tools for maintenance.
• Develop data elements and analytics to identify faults and throughput constraints.
• Evaluate trade-offs and recommend practical solutions.
• Support complex system issues beyond standard operations and maintenance.

Skills

Warehouse automation

Project management

Communication

Strategic planning

Roadmapping

Analytical thinking

Education

Bachelor's degree in industrial and systems, mechanical, electrical, computer science engineering or equivalent

Tools

AS/RS

Vision systems

Packaging technologies

Shipping sorters

Palletizing

Job description

McMaster-Carr, a long-standing e‑commerce leader in Chicago's distribution world, is expanding automation to improve reliability and throughput. You will contribute to material handling, controls, software, analytics, and AI across AS/RS, packaging, conveyor, and sortation systems.

The role emphasizes building standards, solving complex problems, and delivering data-driven improvements in a high‑uptime environment. Excellent communication and project execution are essential.