Robotics Engineer: AI Specialist

GENERAL ROBOTICS TECHNOLOGY PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

General Robotics Technology PTE. LTD. in Singapore seeks candidates with robotics and machine learning expertise, including multimodal ML, computer vision, LLMs/VLMs/VLAs, diffusion/flow matching, and RL/IIL for robotics.

Responsibilities include designing methods and infrastructure to push the state of the art, developing AI models for robotics applications, and shaping research goals with practical engineering concerns. Collaboration across simulation platforms and real-world data is expected.

Qualifications

• Undergraduate or Master's in Robotics, Computer Science, or a related technical field
• Qualified to obtain authorization in the country of employment
• Research experience in machine learning, robotics, and computer vision
• Experience developing robotics algorithms or ML models at scale
• Programming in Python/C++ with PyTorch or Jax

Responsibilities

• Design methods, tools, and infrastructure to advance robotics and foundation models
• Develop and adapt AI models for robotics applications (e.g., CV, SLAM, navigation)
• Define research goals informed by engineering needs
• Adapt ML models/frameworks to robotics applications
• Work with high-fidelity simulation platforms for synthetic data generation
• Design data loading and training pipelines for large-scale training
• Contribute to experiments, including design, coding, evaluation, and results organization
• Translate field patterns and customer requirements into scalable features for the GRID platform and lead data collection campaigns

Skills

Robotics

Machine learning

Computer vision

Python

C++

Pytorch

Research experience

Education

BSc/MSc in Robotics

Work authorization

Tools

AirSim

CARLA

Isaac Sim

MuJoCo

Maniskill

Job description

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.
• Qualified to obtain 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.

Preferred 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.