Reliability / Maintenance Manufacturing Engineer
Abbott Laboratories
- Location
- United States - Illinois - Buffalo Grove
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 28 approvals (FY2023)
- Posted
- Sep 3, 2026
About this role
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.
JOB DESCRIPTION
Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. An excellent retirement savings plan with a high employer contribution. Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.
The Opportunity
This position works out of our Buffalo Grove, IL location in the Abbott Diabetes Care division where we are focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology. This role is specific to a Reliability / Maintenance engineering discipline. With the primary purpose of sustaining the automation equipment at a large manufacturing site. What You’ll Work On Managing spare part inventory levels for assigned equipment family. Identify stock out conditions and work with the parts management team to expedite restocking. Overseeing identification of obsolete parts, identifying replacements, and completing all engineering reviews, documentation and validation. Managing equipment upgrades working closely with equipment OEM's. Through reliability reviews, develop continuous improvement projects to reduce unplanned down time, and increase first pass yield. Identifying preventive maintenance deficiencies and work with TPM to enhance them. Identify spare parts that are eligible for refurbishment and work with the approved refurbishment contractor to have the part repaired. Develop and implement preventive and predictive maintenance programs. Monitor equipment performance and recommend reliability improvements. Plans and conduct small- to medium-sized assigned projects within engineering specialty requiring conventional types of plans, investigations, and/or equipment. Maintains a good understanding of customer, business, and technical considerations, incorporating into work/project scoping and planning. Estimates and coordinates resources needed (materials, budget, time, and people) to accomplish assigned tasks, incorporating contingencies. Participates in basic economic analysis and feasibility studies related to project alternatives with support. Independently executes the design of products/processes/equipment /systems/facilities using standard engineering theories, concepts, and techniques within the discipline. Independently investigates, conducts tests or experiments, gathers data, and performs preliminary analysis, reports findings and communicates recommendations to a variety of stakeholder audiences. Creates/modifies designs for intermediate problems, including designing and modifying more complex components/processes, and writing detailed design specifications. Reviews and analyzes data for patterns/trends, seeing relationships of growing complexity among the data, drawing insights, and making recommendations to