Engineering Technical Leader - Systems
Core
Lead the architecture, integration, validation, and productization of next-generation industrial automation and robotics solutions for rail yard operations, transitioning systems from R&D to scalable commercial deployment.
Role type
Senior Systems Engineering Technical Leader (Industrial Robotics & Automation)
Builds
Next-generation industrial automation and robotics solutions for rail yard operations combining robotics, autonomy, computer vision, AI, software, edge computing, and controls.
Domain
Industrial Automation, Robotics, Rail Operations, AI/Computer Vision
Deliverable
production ML models | product features | infrastructure
Required skills
Systems architecture, requirements engineering, interface management, technical trade studies, design reviews, risk management, integration, verification and validation, electromechanical systems integration, AI and computer vision solution architectures, cross-functional technical leadership
Preferred skills
Autonomous mobile robots and industrial robotic systems development, rail/logistics/mining/manufacturing industry experience, cloud-native applications and distributed systems, AWS/Azure/Docker/Kubernetes/ROS, AI deployment and machine learning operations, system modeling tools (DOORS/Jama/Polarion/Cameo), functional safety and industrial cybersecurity standards
Technologies
Robotics, autonomy, computer vision, artificial intelligence, software, edge computing, cloud connectivity, controls, sensors, networking, electromechanical systems, AWS, Azure, Docker, Kubernetes, ROS, MQTT
Responsibilities
Serve as overall technical owner and system integration engineer for a new industrial robotics product; Lead transition from early-stage R&D through prototype, pilot, production release, and commercialization; Define and execute product maturity plans including technical readiness and manufacturing readiness; Own system-level technical decisions, integration priorities, and trade studies; Lead integration across robotics hardware, embedded software, AI perception, and cloud applications; Manage subsystem interface definitions and integration sequences across multidisciplinary teams
