Robotics Engineer - Singapore: AI Specialist

The role

This person will design methods, tools, and infrastructure to advance robotics and foundation models. They will develop AI models for robotics applications and work with high fidelity simulation platforms.

What you will do

• Design methods, tools, and infrastructure to push forward the state of the art in robotics and foundation models.
• Develop and adapt advanced AI models to robotics applications.
• Define research goals informed by practical engineering concerns.
• Adapt standard machine learning models and frameworks to robotics applications.
• Work with high fidelity simulation platforms for synthetic data generation.
• Design data loading and training pipelines for large scale foundation model training.
• Contribute to experiments, including designing experimental details, writing reusable code, running model evaluations, and organizing results.
• Translate field-tested patterns and customer requirements into scalable, automated features for the GRID platform.
• Lead data collection campaigns and model training for specific customer projects.

Required qualifications

• Undergraduate or Master’s degree (completed or in progress) in Robotics, Computer Science, or a related technical field, or equivalent practical experience.
• Current and ongoing work authorization in the country of employment.
• Research experience in machine learning, robotics, and computer vision.
• Experience with developing robotics algorithms or machine learning models at scale.
• Programming experience in Python/C++.
• Good understanding of deep learning frameworks like Pytorch or Jax.

Nice to have

• Master's/PhD in Robotics, Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Direct experience in robotics, computer vision, or machine learning research.
• First author publications at peer-reviewed AI and robotics conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICRA, IROS, CORL).
• Experience with high fidelity simulation platforms such as AirSim, CARLA, Isaac Sim, Mujoco, Maniskill among others.
• Experience building efficient robotics pipelines involving sensor fusion and model inference
• Experience working with modern computer vision algorithms and sensors (RGB, RGB-D cameras, LIDAR.), 3D (meshes, point clouds, etc.), segmentation, tracking, detection.
• Good understanding of systems considerations and the ability to factor these into model choices.

About the company

General Robotics is building the intelligence grid for physical AI. The Singapore team works closely with the US team as an extended research facility.