Develops simulation and Digital Twin software for robotics, intelligent automation, and Physical AI applications. Builds physics-based environments, virtual robots, reusable APIs, data pipelines, and sim-to-real workflows. Integrates simulation with robotics, sensors, perception, AI, controls, and manufacturing systems while applying modern software engineering practices. Collaborates across engineering disciplines, evaluates emerging technologies, and may provide technical leadership and mentorship.
Job Description
- Analyzes engineering and manufacturing requirements, then designs, develops, tests, maintains, and debugs simulation, Digital Twin, and Physical AI software solutions for intelligent automation and robotics applications.
- Develops physics-based simulation environments, virtual equipment and robot models, digital assets, reusable software components, and simulation workflows to accelerate automation development and validation.
- Develops and integrates simulation capabilities for robotics, perception, vision, sensors, motion, manipulation, autonomous systems, and synthetic data generation, supporting the development and validation of Physical AI applications.
- Builds 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.
- Develops 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.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Robotics, Mechatronics, Electrical Engineering, Mechanical Engineering, or a related technical field.
- 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.
Preferred Qualifications
- Experience with Physical AI, robotics simulation, autonomous systems, computer vision, or synthetic data generation.
- Knowledge of sim-to-real and real-to-sim workflows, including model calibration and validation against physical systems.
- Experience developing reusable simulation assets, software libraries, plugins, APIs, or Digital Twin frameworks.
- Familiarity with robot manipulation, path planning, sensor simulation, perception pipelines, or AI/ML integration.
- Experience integrating simulation environments with robots, automation equipment, cameras, sensors, PLC/control systems, or manufacturing systems.
- Knowledge of 3D asset pipelines, CAD-to-simulation workflows, physics engines, and industrial communication protocols is an advantage.
- Demonstrated ability to evaluate emerging technologies and convert them into practical, scalable engineering solutions.
Additional Details
This job has a full time weekly schedule. It includes the option to work remotely.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: ManufacturingAgilent Technologies Singapore Office
Singapore
Agilent Technologies Singapore, Singapore, SGP Office
Singapore, Singapore
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.
Top Skills:
Ai GovernanceAiqasAirifArtificial IntelligenceComputerized SystemsGxpImexLeanMachine LearningSix Sigma
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Manages Circle’s APAC strategic events, executive speaking program, and regional partnerships with industry associations, universities, think tanks, regulators, and financial institutions. Responsibilities include event production, speaker preparation, messaging alignment, partnership management, vendor contracts, budgets, post-event content, executive support, and cross-time-zone collaboration. The role requires communications or partnerships experience, strong executive judgment, generative AI fluency, and up to 30% travel.
Top Skills:
ChatgptClaudeGenerative AiGoogle WorkspacemacOSSlack
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Deliver customer-facing threat emulation, exposure management, red teaming, vulnerability management, penetration testing, and technical risk consulting services. Use SafeMind, Falcon, and AI-enabled capabilities to evaluate exposures, develop mitigation strategies, and present findings to technical and executive audiences. Improve service-delivery capabilities through documentation and recommendations, coordinate with customers, and mentor junior team members.
Top Skills:
Agentic AiAutomation And ScriptingBurp SuiteCobalt StrikeFalconFirewallsGenerative AiLinuxLoad BalancersmacOSMail ServersMetasploitNessusNmapProxiesRoutersSafemindSwitchesUnixWeb ServersWindowsWireless Access Points
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
