【2027研發替代役暨預聘】Robotics Simulation & Digital Twin Engineer_Delta Robotics Innovation Center (Taipei)

The Delta Robotics Innovation Center (DRIC) is established to support Delta Electronics’ long-term robotics development. Its primary purpose is to build and enhance Delta’s capabilities in robot design, manufacturing, and integration. Rather than focusing on delivering specific products, the center aims to cultivate core competencies that enable Delta groups to efficiently develop and commercialize robotics-based solutions. We are looking for an engineer who bridges the gap between physics-based simulation, robust software engineering, and digital asset creation. This role is about creating the simulation infrastructure that enables faster, safer, and more efficient robotics development. You will build high-fidelity virtual environments and digital twins where robots can be trained, tested, and validated before deployment to real-world hardware.

Responsibilities
•Build Virtual Worlds: Design and implement photorealistic, physically accurate simulation environments for locomotion, manipulation, and autonomous navigation using platforms like NVIDIA Isaac Sim/Isaac Lab, Mujoco or Drake.
•3D Simulation Assets & Digital Twins: Create and manage high-fidelity 3D simulation assets (meshes, materials, collision geometry, articulation definitions, and virtual props) for digital twins of robot platforms and physical environments.
•System Integration: Create clean APIs and interfaces to seamlessly connect simulation environments with AI/learning models (such as imitation learning or VLA policies), control systems, and robot operating stacks (ROS 2).
•Bridge Sim-to-Real: Develop scalable sim-to-real pipelines, leveraging domain randomization, sensor noise modeling, and system identification to accelerate model training and policy validation.
•Physical Fidelity: Collaborate with robotics hardware teams to ensure highly accurate modeling of kinematics, rigid-body/soft-body dynamics, actuators, and advanced sensors (LiDAR, depth cameras, force-torque sensors).
•Scenario & Test Automation: Design and implement automated test suites, metrics-based evaluation pipelines, and complex scenario orchestration for benchmarking robot performance.