Warehouse Automation Solutions Engineer: Innovate & Optimize

Ryder System, Inc.; Juneau (AK); Remote; USD 100,000 - 115,000; Full time

Benefits offered by this job

Health and welfare benefits

401(k) retirement plan

Paid time off

Job summary

Ryder System, Inc. is seeking an experienced Warehouse Automation Engineer to identify, pilot, and deploy advanced automation for warehouse operations. You will collaborate with operations, IT, and solution design teams to demonstrate value and feasibility of new technologies.

The role emphasizes ROI-driven automation selection, project management for smaller deployments, and data-based optimization across multiple facilities. Travel 30-40% is expected.

Qualifications

• Bachelor's degree in an engineering field required.
• 3+ years in warehouse automation or related field.
• Experience with automation technologies and material handling equipment.
• Strong analytical and data visualization skills.
• Ability to manage cross-functional projects.
• Willingness to travel 30-40%.

Responsibilities

• Lead automation technology evaluation and ROI justification.
• Support SOW and contract validation.
• Oversee design validation and procurement.
• Coordinate implementation and SAT testing.
• Analyze data to optimize warehouse performance.
• Develop pilot activities and proof of concept.
• Coordinate with vendors and on-site teams.

Skills

Automation

Project management

Data analytics

Strategic thinking

Stakeholder collaboration

Communication skills

Education

Bachelor's Degree in Industrial Engineering or Mechanical Engineering

Master's Degree in Industrial Engineering or Mechanical Engineering

Tools

CAD

MOST

Simulation

WMS

Power BI

Tableau

Job description

Ryder System, Inc. is seeking an experienced Warehouse Automation Engineer to identify, pilot, and deploy advanced automation for warehouse operations. You will collaborate with operations, IT, and solution design teams to demonstrate value and feasibility of new technologies.

The role emphasizes ROI-driven automation selection, project management for smaller deployments, and data-based optimization across multiple facilities. Travel 30-40% is expected.