Robotics, Automation, and Digital Product Engineer Supply Chain Consultant

About This Role

This role involves supporting and delivering client engagements focused on modernizing manufacturing and supply chain operations through technology, data, and advanced engineering, including OT, robotics, and Physical AI solutions. The engineer will help design and implement solutions integrating robotics, computer vision, simulation/digital twins, synthetic data, and edge AI.

Responsibilities

• Support and deliver client engagements focused on modernizing manufacturing and supply chain operations through technology, data, and advanced engineering
• Help clients design and implement solutions that integrate robotics, computer vision (CV), simulation/digital twins, synthetic data, and edge AI
• Contribute to assessments, PoCs, and early-scale implementations by translating operational needs into practical technical requirements
• Help teams deliver measurable outcomes in industrial environments
• Work across operations including factory, field, and warehouse environments and client stakeholder settings
• Translate between operations, controls/automation, and data/AI teams
• Write, test, and deploy production-grade solutions for ML, CV, robotics, and edge-based solutions
• Document decisions, requirements, and testing outcomes

Requirements

• Bachelor's degree in Engineering in robotics, industrial engineering, or equivalent practical experience
• 4+ years of relevant experience in manufacturing/industrial automation, robotics, computer vision, simulation/digital twins, edge/IIoT, applied ML/AI in operational settings
• Experience delivering digital product and/or operations transformation work in manufacturing/supply chain
• Experience in two or more of: Computer vision for industrial environments, Robotics and autonomy, Simulation, digital twins, physics-based modeling, Synthetic data generation and validation, Edge AI deployment
• Experience writing, testing, and deploying Python and/or C++ code for ML, CV, robotics, and edge-based solutions
• Experience with ROS/ROS2 and NAV2/MOVIT
• Ability to travel up to 50%
• Legally authorized to work in the United States without employer sponsorship

Qualifications

• Bachelor's degree in Engineering in robotics, industrial engineering, or equivalent practical experience
• 4+ years of relevant experience in one or more of: manufacturing/industrial automation, robotics, computer vision, simulation/digital twins, edge/IIoT, applied ML/AI in operational settings

Nice to Have

• Experience collaborating with technology partners (e.g., NVIDIA, Siemens, AWS)
• Experience in developing high-fidelity simulation environments (e.g., using Issac Sim) and enable SLAM/VSLAM
• Experience building teleoperation models and Vision -Language-Action model (VLA)
• Manufacturing and supply chain technology exposure in areas such as sensing and IIoT connectivity, process and product optimization, automation and process control, fleet operations, ML and data science, cybersecurity for OT
• Experience supporting or delivering client-facing PoCs/ pilots/ implementations (beyond academic research)
• Experience working in Agile product delivery
• Experience designing governance and operating models for Physical AI in production

Skills

* Required skills