Robotics Solutions Engineer - Remote Warehouse Automation

Robust AI

San Carlos (CA)

Remote

USD 95,000 - 130,000

Full time

44 hours ago
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Benefits offered by this job

Remote work
Stock options
Full benefits (health, dental, vision,
Flexible vacation and sick leave

Job summary

Robust AI is seeking a Solutions Engineer to design robotic solutions for warehouse and fulfillment operations. You will analyze customer data, develop system concepts, and demonstrate how Carter AMR can improve business metrics.

You will participate in discovery calls, site visits, and proposal development, collaborating with Sales, Product, Software, and Deployment teams. The role blends warehouse engineering, data analysis, simulation, and customer engagement.

Qualifications

  • Bachelor's degree in a technical field as listed.
  • Strong analytical and quantitative problem-solving skills.
  • Experience with large, imperfect real-world datasets.
  • Ability to communicate technical concepts to varied audiences.

Responsibilities

  • Analyze customer data to understand orders, SKUs, throughput, and labor productivity.
  • Develop AMR workflows, layouts, and configurations.
  • Build and analyze simulations to validate designs and sizing.
  • Create facility layouts using AutoCAD and document assumptions.
  • Support sales with proposals, ROI analyses, and demonstrations.

Skills

Analytical thinking
Data analysis
Communication
Multitasking

Education

Bachelor's degree in Industrial Engineering, Mechanical Engineering, Operations Research, Supply Chain, Computer Science, Robotics, or related technical field

Tools

AutoCAD
Excel
Python
SQL
Power BI

Job description

Robust AI is seeking a Solutions Engineer to design robotic solutions for warehouse and fulfillment operations. You will analyze customer data, develop system concepts, and demonstrate how Carter AMR can improve business metrics.

You will participate in discovery calls, site visits, and proposal development, collaborating with Sales, Product, Software, and Deployment teams. The role blends warehouse engineering, data analysis, simulation, and customer engagement.

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