1. Robotics Software Development & Autonomous Systems

Design, develop, and deploy control systems for quadruped robots operating in live manufacturing environments.
Build autonomous navigation, inspection workflows, and mission orchestration capabilities.
Integrate and optimize sensor technologies including thermal imaging, acoustic monitoring, vibration sensing, LiDAR, and computer vision systems.
Implement edge-based intelligence for real-time anomaly detection and autonomous decision-making.
Ensure reliable robot performance in demanding plant environments such as wet floors, narrow spaces, and dynamic obstacles.

2. Fleet Management Platform Development

Architect scalable fleet management systems to manage robotic assets across multiple facilities.
Develop mission scheduling, battery management, health monitoring, and alerting capabilities.
Build cloud-edge synchronization frameworks for seamless real-time data exchange.
Integrate robotic outputs with enterprise platforms such as CMMS, ticketing systems, historians, and analytics tools.
Design secure API integrations and microservices-based architectures where applicable.

Design and deploy AI-powered solutions supporting:
- Condition-Based Maintenance (CBM)
- Predictive Maintenance (PdM)
- Prescriptive Maintenance
- Intelligent Diagnostics & Root Cause Analysis
Develop time-series anomaly detection models for equipment health monitoring.
Build LLM-enabled operator assistants and decision-support tools for manufacturing workflows.
Implement MLOps practices including monitoring, retraining, lifecycle management, and governance.
Support digital twin and smart manufacturing initiatives.

Integrate robotics and AI platforms with PLC/SCADA systems and industrial protocols such as OPC-UA, MQTT, Modbus, and TCP/IP.
Standardize data acquisition across equipment types including fillers, blowers, conveyors, and utilities.
Ensure system reliability, cybersecurity, scalability, and performance.
Support pilot programs and enterprise-wide technology rollouts.

Prepare and deliver technical presentations for plant teams, engineering groups, IT leadership, and executive stakeholders.
Translate complex robotics and AI initiatives into measurable business value and ROI.
Participate in architecture reviews, roadmap planning, and strategic discussions.
Support organizational change management during new technology adoption.

Bachelor’s or Master’s degree in Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, Artificial Intelligence, or related technical field.

3–6 years of experience in robotics, AI engineering, industrial automation, or related disciplines.
Proven experience deploying solutions in real operational environments.
Experience developing production-ready systems beyond proof-of-concept stages.