Lead, Operations Intelligence, Automation
Step into a career with ASM, where cutting edge technology meets collaborative culture.
For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving. But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential.
Job's mission
The AIoT & Intelligent Automation Solutions Engineer leads the design and delivery of AI-enabled automation solutions incorporating AIoT, edge intelligence, computer vision, intelligent workflow automation, and emerging humanoid-assisted operations. The role focuses on practical implementation, product-style delivery, vendor collaboration, and sustainable deployment across OT and IT environments.
What you will be working on
- Design and deploy AIoT, computer vision, and intelligent automation solutions for manufacturing and operations.
- Integrate sensors, machine data, edge systems, vision systems, AI models, control environments, and enterprise applications while respecting OT/IT segregation.
- Lead pilot execution for use cases such as machine monitoring, asset intelligence, assisted inspection, anomaly detection, and semi-autonomous workflows.
- Evaluate humanoid-enabled and intelligent automation opportunities for repetitive, constrained, hazardous, or ergonomically challenging tasks.
- Apply project and product management practices to define requirements, roadmap, MVP scope, success metrics, deployment plan, and adoption approach.
- Collaborate with engineering, operations, OT, IT, cybersecurity, and vendors on deployment architecture, integration readiness, commissioning, and sustainment needs.
- Establish performance measures and support transition from pilot to scaled operations with clear ownership, training, support model, and value tracking.
- Evaluate vendors and technologies based on fit, cybersecurity risk, maintainability, scalability, supportability, and total cost of ownership.
What we are looking for
- Bachelor’s or Master’s degree in Engineering, Mechatronics, Automation, Computer Engineering, AI, Computer Vision, or related field.
- Minimum 4 years of experience in intelligent automation, AIoT, computer vision, smart manufacturing, industrial digitalization, or AI-enabled automation delivery.
- Strong knowledge of OT/IT architecture segregation, industrial connectivity, machine data, edge systems, cybersecurity constraints, and deployment execution.
- Experience managing automation projects or products from concept, business case, pilot, implementation, handover, and scale-up.
- Proven ability to work with vendors, system integrators, engineering teams, operations, OT, IT, and cybersecurity stakeholders.
- Strong project delivery, product ownership, cross-functional communication, and problem-solving skills.
What sets you apart
- Systems integration
- AI, computer vision, and intelligent automation delivery
- Project and product management
- Operational, OT/IT, and vendor collaboration
- Technical troubleshooting and commissioning
- Delivery rigor and value realization
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