Logistics Engineer III

Arrow•Reno, NV

7d•Onsite

About The Position

The logistics industrial engineer leads continuous improvement initiatives across Arrow’s distribution centers in the Americas. This role partners with Operations, IT, Maintenance, Quality, Safety, external contractors, and other functional teams to improve safety, quality, productivity, cost, and service levels. The position is responsible for optimizing inbound, picking, and outbound warehouse processes; developing workflows and process maps; improving workstation and facility layouts; supporting material-handling and automation technologies; and delivering capital and operational improvement projects. The logistics industrial engineer applies engineering methods, data analysis, and project management to improve capacity, reduce waste and complexity, and establish scalable best practices across the distribution network.

Requirements

Bachelor’s degree in Industrial Engineering (or technical field) with 3–5 years of hands-on logistics and distribution engineering experience in high-volume warehouse/fulfillment environments.
Expertise in optimizing facility layouts, slotting, and material-handling automation (conveyors, AGVs, AMRs), complemented by time studies, labor standard development, and dynamic staffing models.
Proven track record leading capital, tech, and cost-reduction projects end-to-end—developing project scopes, specs, budgets, and SOWs while managing contractors, vendors, integrators, and cross-functional teams.
Proficient in supporting and integrating Warehouse Management (WMS), Execution (WES), and Labor Management (LMS) systems, paired with strong data analytics, MS Office, and reporting/visualization tools.
Strong analytical, communication, and documentation skills with a demonstrated safety-first approach to troubleshooting operational issues and driving continuous improvement.

Nice To Haves

Master’s degree in Industrial Engineering or a related field.
Experience with AutoCAD, Visio, Microsoft Project, Power BI, SQL, VBA, warehouse slotting software, or similar tools.
Experience with analytics or statistical tools such as Python, R, JMP, Minitab, or Toad.
Lean, Six Sigma, or project-management certification.

Responsibilities

Engineered end-to-end warehouse workflows (inbound, storage, picking, packing, and outbound), optimizing facility layouts, workstation ergonomics, slotting strategies, and material flow to maximize space utilization.
Leveraged operational data and time studies to establish labor standards, staffing models, productivity targets, and capacity plans, eliminating constraints and labor gaps across operations.
Led end-to-end capital, cost-reduction, and technology projects—developing technical specifications, scopes, budgets, SOWs, and schedules while managing contractors, vendors, and integrators through delivery and testing.
Supported and optimized material-handling automation (conveyors, AGVs, AMRs, sortation systems) and core operational platforms, including Warehouse Management (WMS), Warehouse Control (WCS), and Labor Management (LMS) systems.
Conducted root-cause analysis (RCA) and implemented CAPA solutions to resolve complex operational, software, and equipment issues, documenting results, authoring standard work/SOPs, and delivering technical training.