General Robotics is building the future of general robot intelligence. Our mission is to enable the rapid, robust, and safe deployment of general intelligence for autonomous systems and robotics. Our core platform, GRID, provides a comprehensive library of robot skills through a fast, cloud-native runtime designed to make any robot intelligent—including aerial, wheeled, humanoid, quadruped, and robotic arms.
We are looking for strong candidates who have a background in robotics and machine learning, with experience in areas like multimodal machine learning; computer vision; LLMs/VLMs/VLAs; diffusion/flow matching; reinforcement learning and imitation learning for robotics; efficient training and inference.
ResponsibilitiesDesign methods, tools, and infrastructure to push forward the state of the art in robotics and foundation models.
Develop and adapt advanced AI models, such as Vision-Language-Action (VLA) models, to robotics applications (e.g., computer vision, SLAM, navigation).
Define research goals informed by practical engineering concerns.
Adapt standard machine learning models and frameworks to robotics applications (e.g. computer vision, SLAM, navigation).
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.
Contribute to publications and open-sourcing efforts.
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.
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.
Base Salary Range
The typical base pay range for this role is 82000 SGD - 220000 SGD. Your actual pay will be based on factors such as skills and experience.
Equal Opportunity Employer
General Robotics is an equal opportunity employer. We do not discriminate on the
basis of any status protected by applicable law.
Accommodations
If you need a reasonable accommodation during the application or interview
process, please contact: [email protected]
