Senior AMR Solutions Architect

Geek+

United States

On-site

USD 130,000 - 190,000

Full time

2 days ago
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Job summary

Geek+ is seeking a Senior Solution Engineer with 5+ years of experience in warehousing automation, robotics, or supply chain optimization. You will design end-to-end robotic solutions and lead cross-functional teams to drive successful deployments.

You will engage Fortune 500 clients, partners, and internal teams, delivering ROI-focused proposals, roadmaps, and implementations across large-scale environments. Travel to customer sites is expected.

Qualifications

  • Minimum 5+ years of experience in warehousing automation, logistics, robotics, or supply chain operations.
  • Expert-level proficiency in AutoCAD 2D layout design.
  • Strong knowledge of warehouse automation technologies and material handling systems.
  • Proven track record leading automation projects with ROI-driven results.
  • Excellent communication and presentation skills for technical and executive stakeholders.

Responsibilities

  • Conduct warehouse and supply chain assessments to identify automation opportunities.
  • Design end-to-end robotic solutions leveraging Geek+ AMR technology for large-scale deployments.
  • Lead validation, testing, and optimization to ensure peak performance.
  • Collaborate with software, implementation, and product teams and share best practices.

Skills

Solution design
Project management
Analytical thinking
Communication
Stakeholder engagement
Travel willingness

Education

Bachelor's degree in Supply Chain Engineering, Industrial Engineering, Robotics, or related field

Tools

AutoCAD 2D layout design

Job description

Geek+ is seeking a Senior Solution Engineer with 5+ years of experience in warehousing automation, robotics, or supply chain optimization. You will design end-to-end robotic solutions and lead cross-functional teams to drive successful deployments.

You will engage Fortune 500 clients, partners, and internal teams, delivering ROI-focused proposals, roadmaps, and implementations across large-scale environments. Travel to customer sites is expected.

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