Innovation Engineer

• Architect and implement integration solutions between diverse technologies (e.g., IoT devices, cloud platforms, AI models, control systems).
• Understand complex systems across Hardware, Software and process layers.
• Define and manage data flows, APIs, and communication protocols.

• Proficiency in integrating diverse technologies (e.g., PLCs, IoT devices, MES, ERP systems).
• Knowledge of communication protocols (OPC UA, MQTT, REST APIs).

• Develop and maintain middleware components and APIs to enable modular system design.
• Ensure secure and efficient data exchange between components.

• Programming/scripting skills (Python, C++, Java, or similar).
• Familiarity with automation platforms (Siemens, Rockwell, Beckhoff) and industrial software (Ignition, Kepware, TwinCAT).
• Experience with edge computing and cloud integration (Azure, AWS, etc.).

• Process simulation (e.g. Siemens Plant Simulation, Process Simulate, Visual Components etc.), or similar manufacturing simulation platforms, ideally with seating or assembly line experience.
• Product simulation (e.g. NX, CATIA, DELMIA, Solidworks), or similar engineering design and product development platforms, with experience of DFAA.

• Collaborate with software developers, hardware engineers, and data scientists to align interfaces and system requirements.
• Troubleshoot integration issues and ensure system compatibility.
• Evaluate emerging control technologies (edge computing, AI-based control, etc.).
• Support feasibility studies and POC development.
• Create integration maps, interface specifications, and technical documentation.

• Work closely with teams in Manufacturing, Logistics, Quality, and IT to understand operational needs and translate them into technical solutions.
• Build and manage relationships with external partners, including universities, research institutions, and suppliers, to foster collaboration and access new technologies or knowledge.

• Confidence in presenting and interfacing with senior stakeholders from multi-cultural backgrounds and functional disciplines.
• Willingness and flexibility to travel within the role. Expected travel approx. 30%
• Analytical and critical thinking: Strong analytical skills to understand business processes and requirements.
• Lean thinker: understands the benefits of standardisation and can explain clearly when challenged.

• Minimum of 2 years work experience in Manufacturing.
• Ability to apply both academic and practical thinking to real-world tech challenges.
• Preferably experience in smart factory initiatives, IoT projects, digital transformation projects.
• Excellent communication abilities.
• Fluency in English language both written and verbal.
• Ideally a Masters in a related engineering / technical field although a bachelor's degree with relevant work experience may be considered.

• Flexible working hours.
• Benefits package.

Lear Corporation