Robotics, Automation, and Digital Product Engineer Supply Chain Consultant

About This Role

This role involves supporting clients in modernizing manufacturing and supply chain operations through advanced engineering, technology, and data. The engineer will focus on delivering transformational solutions using robotics, automation, and digital products to enhance growth and efficiency.

Responsibilities

• Support and deliver client engagements focused on modernizing manufacturing and supply chain operations
• Design and implement solutions integrating robotics, computer vision, simulation/digital twins, synthetic data, and edge AI
• Contribute to assessments, Proofs of Concept (PoCs), and early-scale implementations
• Translate operational needs into practical technical requirements
• Help teams deliver measurable outcomes in industrial environments
• Work across factory, field, and warehouse environments and client stakeholder settings
• Translate between operations, controls/automation, and data/AI teams
• Build, test, and deploy production-grade solutions with hands-on coding
• Document decisions, requirements, and testing outcomes thoroughly

Requirements

• 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
• Experience delivering digital product and/or operations transformation work in manufacturing/supply chain (e.g., requirements, process design, operating model, KPI design, implementation planning), in addition to hands-on technical delivery
• Experience in two or more of the following areas: Computer vision for industrial environments, Robotics and autonomy, Simulation, digital twins, physics-based modeling for factories, warehousing, and logistics, Synthetic data generation and validation approaches for model development, 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
• 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 manufacturing/industrial automation, robotics, computer vision, simulation/digital twins, edge/IIoT, or applied ML/AI in operational settings

Nice to Have

• Experience collaborating with technology partners (e.g., NVIDIA, Siemens, AWS) to translate platforms into deliverable architectures and programs
• Experience in developing high-fidelity simulation environments (e.g., using Issac Sim) and enable SLAM/VSLAM for map-building and localization
• Experience building teleoperation models and Vision-Language-Action model (VLA)
• Manufacturing and supply chain technology exposure (e.g., 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), including requirements and measurable acceptance criteria
• Experience working in Agile product delivery (backlogs, sprint/release planning, demos tied to measurable outcomes) and partnering with operations leaders to drive adoption
• Experience designing governance and operating models for Physical AI in production: model monitoring and drift, incident response, data management, human-in-the-loop, safety and controls integration

Skills

* Required skills