Warehouse Automation Solutions Engineer

Mushiny Intelligence; Ciudad de México; Presencial; MXN 480.000 - 600.000; Jornada completa

Descripción de la vacante

Mushiny Intelligence is seeking a Solution Engineer to bridge Sales, Engineering, and customers, translating complex requirements into automated warehouse solutions. You will design feasible systems using AutoCAD, support sales with technical depth, and ensure cost-accurate proposals while aligning product development with market needs.

Role emphasizes collaboration with cross-functional teams, advanced analytics, and hands-on site research to validate implementations across diverse logistics

Formación

• 2-5 years general engineering experience with at least 3 years in material handling equipment systems.
• Logistics applications (3-5 years), automation integration, warehouse optimization.
• Bachelor’s Degree in Engineering, Business, or related field.
• Advanced Spanish and English required; Portuguese or Chinese Mandarin a plus.

Responsabilidades

• Solution Design & Concepting: interprets customer requirements to develop derived system solutions.
• Technical Sales Support: attends customer meetings, gives technical presentations, travels to sites for research.
• Proposal & Cost Management: analyzes technical specs and project requirements to ensure accurate bids.
• Product Alignment: synthesizes customer feedback and gaps to guide roadmap and innovation.

Conocimientos

Engineering experience

Material handling systems

Logistics & automation

Data analysis

Spanish & English

Communication

Educación

Bachelor’s Degree in Engineering or related field

Herramientas

AutoCAD

Microsoft Office

Excel

Descripción del empleo

Mushiny Intelligence is seeking a Solution Engineer to bridge Sales, Engineering, and customers, translating complex requirements into automated warehouse solutions. You will design feasible systems using AutoCAD, support sales with technical depth, and ensure cost-accurate proposals while aligning product development with market needs.

Role emphasizes collaboration with cross-functional teams, advanced analytics, and hands-on site research to validate implementations across diverse logistics