About Asiacruit

At Asiacruit, we connect top talent with forward-thinking organizations across industries. Our mission is to help businesses grow through smart, strategic, and people-focused solutions. We support companies by providing high-quality talent for local and global markets.

Position Overview

We are looking for a Synthetic Data & Teleoperation Engineer to develop simulation environments, synthetic data pipelines, and teleoperation workflows for robotic learning and Vision-Language-Action (VLA) foundation models.

You will help generate realistic training scenarios, capture demonstration data for imitation learning, and improve the visual fidelity of simulated environments. The role combines robotics simulation, 3D environment development, teleoperation, and dataset engineering to support the development of intelligent robotic systems.

Key Responsibilities

• Develop synthetic data generation pipelines using NVIDIA Isaac Sim and Omniverse for diverse security scenarios, including night vision, perimeter breaches, and adverse weather.

• Build and maintain simulation environments for robotic perception, planning, and manipulation.

• Configure VR-based teleoperation systems to capture demonstration trajectories for imitation learning.

• Integrate teleoperation workflows using OpenXR and related simulation technologies.

• Manage dataset curation, automated labeling, and structured demonstration repositories for foundation model training.

• Develop and refine simulation assets using Blender, Unreal Engine, or similar 3D tools.

• Evaluate photorealism and identify visual discrepancies between simulated and real-world environments.

• Benchmark and reduce Sim-to-Real domain gaps through simulation improvements and data generation techniques.

• Collaborate with AI researchers and robotics engineers to support VLA development and simulation-based training.

Qualifications

• Bachelor's or Master's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, Computer Graphics, or a related field.

• Approximately 2–4 years of relevant experience in robotics simulation, synthetic data, teleoperation, or 3D environment development.

• Proficiency in Python and familiarity with C++.

• Experience with NVIDIA Isaac Sim, Omniverse, or comparable robotics simulation platforms.

• Familiarity with USD, VR teleoperation, OpenXR, Blender, or Unreal Engine is an advantage.

• Understanding of imitation learning, robotic demonstration datasets, automated labeling, or synthetic data generation.

• Knowledge of domain randomization, photorealistic simulation, or Sim-to-Real evaluation is a plus.

• Strong problem-solving skills and the ability to work across simulation, data, and robotics systems.

Why Join?

• Contribute to emerging technologies in robotics simulation and embodied AI.

• Build synthetic environments and demonstration pipelines for advanced robotic learning.

• Work with AI researchers and robotics engineers on challenging applied R&D projects.

• Help bridge the gap between simulated training and real-world robotic performance.