McMaster-Carr Verified

Industrial Distribution, E-commerce, Supply Chain

Distribution Automation Reliability Engineer

ChicagoOnsiteFull Time$185,000–$230,000 /yrPosted 1 month ago

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Required skills

AS/RS
automated receiving
vision systems
packaging technologies
shipping sorters
palletizing
material handling
controls
analytics
AI

Nice to have

industrial and systems engineering
mechanical engineering
electrical engineering
computer science engineering
hardware
process design

Role summary

McMaster-Carr is seeking a Corporate Automation Reliability Engineer to drive improvements in the reliability and performance of their automation systems. This role involves engineering projects across material handling, controls, software, analytics, process design, and AI. You will establish standards for new systems, enhance existing ones, and solve complex technical problems in a high-uptime e-commerce distribution environment. The position requires 2+ years of professional experience in warehouse automation, a Bachelor's degree in a relevant engineering field or equivalent, and strong project execution skills. The compensation package ranges from $185,000 to $230,000 annually, plus profit sharing.

Who We Are

McMaster-Carr is an innovative e-commerce company helping customers build and repair anything because we offer everything. We've thrived for more than 120 years through a relentless focus on customer experience, adaptability, and world-class operations. Curious, exceptional people are at the center of our evolution, turning new challenges and disruptive technologies into opportunities to learn, grow, and do work that makes customers' lives better.

What You'll Do

It is an exciting time at McMaster-Carr as we expand the use of automation in our distribution operations. Automated storage and retrieval systems (AS/RS), right-sized packaging technology, and sortation equipment are just some of the technologies that are in the scope of this role.

We are hiring to advance engineering projects that drive improvements in the reliability and performance of the automation system. Projects span material handling design, controls, software, analytics, process design and AI. You will help establish standards for new systems, improve systems already in operation, and solve complex technical problems in a high-up-time environment.

Make an impact and grow your engineering skills through work such as:

Improving automated packaging technology by creating standards for physical alignment, controls configurations, and software parameters.

Defining software behavior for automation based on control faults, warnings, and information

Enhancing the user experience of picking from totes to cartons in a goods-to-person

Designing or improving the material flow that connects automated storage and retrieval, picking, packing, workstations, sortation, and downstream processes.

Improving automated receiving through vision, identification, routing, induction, or put-away

Applying conveyor, sortation, mobile-robotics, or related material-handling technologies to improve system reliability and throughput.

Building an Al-enabled troubleshooting tool for maintenance technicians responding to automation-equipment

Creating data elements and analytics that identify automation faults, downtime, throughput constraints, and opportunities for improvement.

Evaluating alternatives, explaining technical and operational trade-offs, and recommending practical

Supporting complex system issues that extend beyond established operating and maintenance

Cash Compensation

Total cash compensation is generally around $185,000 to $230,000 and includes profit sharing based on company performance.

Qualifications

2+ years of professional experience in warehouse automation, including experience with AS/RS, automated receiving using vision systems, packaging technologies, shipping sorters, or palletizing

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

Knowledge of hardware, controls, software, process design, analytics, and AI disciplines is preferred

Experience in a fast-paced, high uptime, operational environment

Proven experience managing multiple projects simultaneously

Excellent communication skills and advanced project execution skills

Strong business and financial acumen paired with domain and technical expertise

Demonstrated ability to think strategically and roadmap, plan, and execute

Commitment to personal, professional, and team growth

Equal Opportunity Employer

We are proud to be an Equal Opportunity Employer and dedicated to providing employees a workplace with reasonable accommodations and free of discrimination, harassment, and retaliation. At McMaster-Carr, we do not make employment decisions based on age, ethnicity, citizenship status, military status, gender identity and expression, race, religion, disability status, marital status, sexual orientation, or any other legally protected group.

This position is not eligible for work authorization sponsorship by McMaster-Carr.

Data We Collect

We may collect professional, education and employment-related data, and any assessments made throughout the recruiting process, to evaluate candidacy for employment. To communicate with job applicants, we may collect applicant names, contact information, and other personal identifiers, including those outlined in the California customer records statute. Through voluntary disclosure, we may also collect protected classifications under federal or California law (e.g., race, gender, etc.). For additional details about the personal information we collect and its uses, please click here.

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