Jobfoundry
Jobfoundry
Applied Materials

Engineering Manager, Service Technologies Lab

Applied Materials
Equipment EngineeringSingapore,SGPOnsitePosted 6 months ago
Apply Now

About the role

AI summarised

The Engineering Manager for the Service Technologies Lab in Singapore leads engineering teams in developing robotics and mechanical systems for service technologies. This role involves managing multidisciplinary teams, overseeing project execution, driving engineering excellence, and collaborating with product, operations, and external partners to deliver integrated hardware-software solutions. The position focuses on innovation in collaborative robotics, intelligent automation, and scalable deployment of service-oriented technologies.

EquipmentOnsiteProject/Program Management

Key Responsibilities

  • Lead engineering teams focused on the design, development, and implementation of robotics and mechanical systems for service technologies
  • Translate strategic direction into actionable engineering plans and deliverables
  • Drive engineering excellence through structured development processes, design reviews, and quality assurance
  • Manage a multidisciplinary team of engineers across robotics, mechanical design, and systems integration
  • Oversee project timelines, resource planning, and execution to meet technical milestones
  • Hire and mentor experienced and junior engineers and foster a collaborative, high-performance culture
  • Develop and refine applications for collaborative robots (cobots), autonomous service routines, and intelligent platforms
  • Ensure seamless integration of mechanical and software components for scalable deployment
  • Apply best practices in prototyping, testing, and iterative development
  • Work closely with product, operations, and IT teams to align engineering output with business needs
  • Support partnerships with external collaborators including universities and startups for technology acceleration

Requirements

  • Master’s or B achelor ’ s degree in Robotics, Computer Science, Mechanical or Electrical Engineering, or related field
  • 7+ years of experience in automation, simulation engineering, or digital twin development
  • Knowledge of Python, C++, or similar languages used in automation and simulation scripting
  • Leverage ML/AI algorithms to enhance system capabilities