Robotics Engineer - Singapore: AI Specialist

general robotics corporation; Singapore; On-site; SGD 82,000 - 220,000; Full time

Job summary

General Robotics in Singapore seeks researchers with a strong robotics and machine learning background to advance state-of-the-art in foundation models for robotic systems. You will design methods, adapt AI models for robotics applications, and work with high-fidelity simulators for synthetic data generation.

Responsibilities include building scalable data pipelines, running experiments, and translating field-tested patterns into GRID platform features and customer projects.

Qualifications

• Undergrad or Master’s in Robotics/CS or equivalent practical experience.
• Current work authorization in the country of employment.
• Research experience in machine learning, robotics, and computer vision.
• Experience with developing robotics algorithms or ML models at scale.
• Programming in Python/C++ with PyTorch or Jax.

Responsibilities

• Design methods, tools, and infrastructure to push forward state-of-the-art in robotics and foundation models.
• Develop and adapt advanced AI models, such as Vision-Language-Action models, to robotics applications (CV, SLAM, navigation).
• Define research goals informed by practical engineering concerns.
• Adapt standard ML models and frameworks to robotics applications (CV, 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 details, writing reusable code, running evaluations, and organizing results.
• Platform Development & Data Collection: translate field-tested patterns into scalable features for GRID, lead data collection campaigns and model training (including synthetic data, teleoperations, motion capture).

Skills

Python

C++

PyTorch

Jax

Robotics

Computer Vision

SLAM

Navigation

Education

Undergraduate or Master’s in Robotics/CS

Master’s/PhD in Robotics/CS (preferred)

Tools

AirSim

CARLA

Isaac Sim

Mujoco

Maniskill

Job description

About this Role

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.

Responsibilities

• Design 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.

• Platform Development & Data Collection: Translate field-tested patterns and customer requirements into scalable, automated features for the GRID platform, and lead data collection campaigns as well as model training for specific customer projects (including synthetic data from simulations, teleoperations, and motion capture).

Minimum 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.

Desired Qualifications

• 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 General Robotics

General Robotics is building the intelligence grid for physical AI — the platform that makes any robot, from robotic arms to humanoids, genuinely intelligent. Headquartered in Redmond, Washington, we're venture backed, including by Accenture, who invested in General Robotics in 2026 to advance Physical AI-powered robotics in manufacturing and logistics, and we're also part of Microsoft's Startups Pegasus Program. Our team's work spans some of the most widely adopted robotics and AI research to come out of Microsoft Research, Google Research and DeepMind — including AirSim, PACT, ClimaX, Tensorflow Object Detection and VideoPoet.

Our Singapore team works closely with the US team on GRID's research and development as an extended research facility, and to support our customers in the region. Engineers from both offices regularly visit each other for collaboration.

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: [e-mail]