Develop and execute test plans for R&D projects, verifying hardware compliance and functionalities, while collaborating with global teams.
Job Description
We are seeking a Simulation & Digital Twin Engineer to join our global team. This role focuses on the simulation of manufacturing processes and production systems, as well as the development and deployment of digital twins to support factory design, automation, capacity planning, and continuous improvement initiatives across global sites.
The ideal candidate combines strong engineering fundamentals, hands-on simulation experience, and the ability to work effectively in a global, cross-functional environment.
Key Responsibilities
- Develop and maintain process and production simulations for manufacturing lines, workcells, and factories.
- Create and manage digital twin models for production systems, including human, robotic, and automated operations.
- Perform capacity analysis, line balancing, and what‑if studies to support manufacturing decisions.
- Support virtual commissioning, layout validation, and early-stage design reviews.
- Collaborate with industrial engineering, operations, automation, and R&D teams globally.
- Document models, assumptions, and results in a clear and structured manner.
Education
- Bachelor’s Degree or higher in one of the fields:
- Mechanical Engineering
- Industrial Engineering
- Manufacturing Engineering
- Mechatronics
- Robotics
- Systems Engineering
- Computer Engineering or Computer Science (with manufacturing or simulation focus)
A Master’s degree is preferred for senior roles.
Professional Experience
- Experience in manufacturing, production engineering, or industrial engineering.
- Hands-on experience with process or production simulation.
- Experience modelling manufacturing systems, material flow, or automated production lines.
- Exposure to factory layout planning, capacity planning, or production optimization.
- Experience working in cross-functional and/or global teams.
Technical Skills (Required)
- Process and/or discrete-event simulation.
- Manufacturing systems and production flows.
- Interpretation of production KPIs (cycle time, throughput, utilization, OEE).
- Ability to analyse simulation results and translate them into actionable recommendations.
- Strong documentation and communication skills.
- Experience with one or more of the following platforms Siemen Teknomatix Process Simulate, Plant simulation, NVIDIA Isaac.
- Knowledge of robotics and automation systems, virtual commissioning and PLC concepts, CAD-to-simulation workflows, Python or scripting for simulation automation.
- Experience with digital twin, Industry 4.0, or smart manufacturing initiatives.
- Background in semiconductor, electronics, or high-mix manufacturing environments.
Soft Skills & Competencies
- Strong analytical and problem-solving mindset.
- Ability to work independently and manage multiple priorities.
- Clear communication with technical and non-technical stakeholders.
- Comfortable working across cultures, time zones, and disciplines.
- Continuous learning mindset and interest in emerging digital technologies.
Additional Details
This job has a full time weekly schedule.Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.Travel Required: OccasionalShift: DayDuration: No End DateJob Function: ManufacturingTop Skills
C
C#
C++
Dmm
Logic Analyzer
Oscilloscope
Visual Studio .Net
Agilent Technologies Singapore Office
1 Yishun Ave 7, Singapore, 768923
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