Robotics Foundation Model Engineer: Perception & Control

GENERAL ROBOTICS TECHNOLOGY PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

General Robotics Technology Pte. Ltd. in Singapore seeks a research-focused engineer to formulate hypotheses and design rigorous experiments aligned with deployment needs.

You will develop and scale foundation models for robotic perception and action, use simulators and diverse datasets for pretraining and RL, and push sim-to-real transfer, delivering reusable, production-quality research.

Qualifications

• Bachelor's degree in Computer Science, Robotics, or related field.
• Research or applied experience in ML, robotics, or computer vision.
• Strong Python and PyTorch skills.
• Experience developing and evaluating ML models or robotics algorithms.
• Experience with at least one robotics simulation platform.
• Familiarity with inverse kinematics, dynamics, and robotic manipulation.
• Eligible to work in Singapore.

Responsibilities

• Formulate research hypotheses and design rigorous experiments.
• Develop and scale foundation models for robotic perception and action.
• Leverage simulation and diverse datasets for pretraining, post-training, reinforcement learning, and evaluation.
• Scale existing simulation platforms for data generation and reinforcement learning across heterogeneous scenes and tasks.
• Advance generalization beyond demonstrated tasks and robust spatial understanding.
• Improve sim-to-real transfer and reliability under real-world deployment constraints.
• Develop Auto-Engineering methods for scalable and robust deployment.
• Implement, evaluate, and clearly communicate research as reusable, production-quality work.

Skills

Python

PyTorch

Machine learning

Robotics

Computer vision

Research

Education

Bachelor's degree in Computer Science / Robotics / related field

Tools

Isaac Sim

MuJoCo

ManiSkill

Job description

General Robotics Technology Pte. Ltd. in Singapore seeks a research-focused engineer to formulate hypotheses and design rigorous experiments aligned with deployment needs.

You will develop and scale foundation models for robotic perception and action, use simulators and diverse datasets for pretraining and RL, and push sim-to-real transfer, delivering reusable, production-quality research.