Jobs · Engineering · Georgia

Team Lead - Warehouse Execution Software Development

Mujin · Suwanee, GA · 2 wk ago
EngineeringFull-time

Position Description

Support 4-8 individual contributors from early career through senior level.
Lead the design and implementation of scalable WES architectures for real-time decision-making and resource allocation.
Develop orchestration logic for inventory flow and order prioritization across automation layers.
Build APIs and integration layers for Warehouse Management Systems (WMS) and automation platforms.
Optimize algorithms for throughput and task scheduling in lifelong and online domains.
Collaborate with other teams to ensure seamless system interoperability.
Review code and provide developers with constructive feedback to drive continuous improvements in quality and reliability.
Collaborate with cross-functional teams to ensure seamless system integration.
Troubleshoot and resolve complex technical issues in deployed systems.
Instill discipline and quality-first culture for timely delivery and exceptional user experience.
Provide mentoring, coaching, and team communications; and facilitate career path planning.

Position Requirements

  • Bachelor’s in Robotics, Engineering, Computer Science or equivalent experience.
  • 7+ years of professional experience in software-driven product development for industrial automation, robotics, or similar industry.
  • 3+ years of team leadership and management experience, along with advanced programming skills in C++ and Python.
  • Expertise in distributed systems, orchestration logic, and real-time execution monitoring.
  • Experience integrating complex technology involving electromechanical devices and software ecosystems.

Preferred Qualifications

  • Master’s or PhD in Robotics, Engineering, Computer Science or equivalent experience.
  • 10+ years of professional experience in software-driven product development for industrial automation, robotics, or similar industry.
  • 5+ years of team leadership and management experience.
  • Background in warehouse execution systems or solving large-scale scheduling problems.
  • Experience with real-time systems.

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