Remote Digital Twin & Simulation Engineer for Robotics

Agilent Technologies Singapore (International) Pte Ltd

Singapore

Hybrid

SGD 100,000 - 180,000

Full time

5 days ago

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Job summary

Agilent Technologies Singapore (International) Pte Ltd is seeking a seasoned professional to analyze engineering and manufacturing requirements and design, develop, test, maintain, and debug simulation, Digital Twin, and Physical AI software solutions for intelligent automation and robotics.

You will collaborate with software, AI, robotics, mechanical, electrical, controls, and automation engineers to build scalable virtual systems, validate concepts, and implement modern software practices such

Qualifications

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Robotics, Mechatronics, Electrical Engineering, Mechanical Engineering.
Minimum 5+ years of relevant experience.
Strong programming skills in Python and/or C++, with solid understanding of object-oriented software development.
Experience developing simulation, robotics, Digital Twin, or automation software.
Understanding of 3D simulation, physics-based modeling, robot kinematics, motion, sensors, or perception systems.
Experience with modern software engineering practices including Git, APIs, modular software architecture, automated testing, and CI/CD.
Strong analytical and problem-solving skills with the ability to translate physical engineering problems into software and simulation solutions.
Ability to work effectively across software, robotics, automation, controls, mechanical, and electrical engineering disciplines.

Responsibilities

Analyze engineering and manufacturing requirements, then design, develop, test, maintain, and debug simulation, Digital Twin, and Physical AI software solutions for intelligent automation and robotics applications.
Develop physics-based simulation environments, virtual equipment and robot models, digital assets, reusable software components, and simulation workflows to accelerate automation development and validation.
Develop and integrate simulation capabilities for robotics, perception, vision, sensors, motion, manipulation, autonomous systems, and synthetic data generation, supporting the development and validation of Physical AI applications.
Build simulation-to-real and real-to-simulation workflows to improve correlation between virtual models and physical systems and enable technology development before deployment on actual equipment.
Develop reusable APIs, libraries, plugins, data pipelines, and integration frameworks connecting simulation environments with robotics, AI, automation, and engineering software stacks.
May participate across the full development lifecycle, from detailed programming and simulation modeling to software architecture, system integration, and high-level Digital Twin platform design.
Works closely with software, AI, robotics, mechanical, electrical, controls, and automation engineers to develop integrated virtual systems and validate complex automation concepts.
Uses modern software engineering practices including object-oriented programming, modular architectures, version control, automated testing, CI/CD, APIs, and reusable software libraries to build scalable and maintainable solutions.
Identifies emerging technologies in Physical AI, robotics simulation, Digital Twin, computer vision, synthetic data, and AI-enabled automation, and evaluates their application to future manufacturing systems.
May provide technical leadership and mentor engineers through architecture reviews, code reviews, simulation methodology, and software design guidance.