Simulation & Digital Twin Engineer

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Quick Summary

Overview

Job Description Analyzes engineering and manufacturing requirements, then designs, develops, tests, maintains, and debugs simulation, Digital Twin,

Technical Tools

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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.

Requirements

~1 min read

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.

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.

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/locations

Agilent 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.

Occasional

Day

No End Date

Manufacturing