Material Handling Engineer - Warehouse Automation

The kind of person who sees an empty distribution center and immediately starts whiteboarding conveyor paths, ASRS grids, and robot traffic flows. This isn't about maintaining old systems - it's about designing and building new, complex automation solutions from the ground up for major e-commerce and 3PL operations.

This role is remote. But you need to be a hands-on engineer who can own a project from a blank AutoCAD file to a fully commissioned system.

So, what will you actually be doing?

- You'll be the architect for our automated material handling systems. This means designing everything - conveyors, high-speed sorters, and large-scale ASRS.

- Integrating robotics. You'll work on bringing in fleets of AMRs or AGVs, figuring out how they talk to our WCS, and making sure they don't crash into each other.

- Running simulations. You'll spend a lot of time in software like FlexSim or AnyLogic, pressure-testing your designs to see if they can handle peak season chaos. This is critical.

- You'll own the project management for installations. This might mean some travel to the site to make sure the build-out is going according to your plan. No surprises.

- Talking to vendors. A lot. You’ll be selecting equipment, negotiating specs, and making sure what they deliver is what they promised.

- Optimizing product flow and warehouse layouts. It's a puzzle, and you're the one who has to solve it.

We expect you to have:

- At least 5-7 years of experience as a Material Handling or Automation Engineer.

- Serious skills in AutoCAD for layout design. You should be able to create detailed system drawings.

- Deep, practical knowledge of warehouse simulation tools. FlexSim or AnyLogic are the main ones we use. You have to know one of them well.

- You've worked on integrating WMS/WCS software with physical hardware before. You understand the data flow and the pain points.

- Direct experience with either AGVs or AMRs. You know the tech, the vendors, and the implementation challenges.

- A knack for data analysis. You can look at a spreadsheet and see the story behind the numbers.

- An engineering degree (Mechanical, Industrial, Electrical, or something similar) is a must-have.