Robotics Engineer - Singapore: AI Specialist

Singapore

About the role

About General Robotics 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.

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. Contribute to publications and open-sourcing efforts. Minimum

Requirements 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. 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. 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]

About Scaled Foundations

General Robotics is building general-purpose intelligence for every robot in any form, across any real-world scenarios. True generalist robots need more than just a foundation model. They must adapt across morphologies, be simple to program, and meet rigorous safety standards. We believe general intelligence emerges from a rich composition of robot skills — not just larger models. By combining modular AI skills, we enable robots to sense, reason, and act with precision. Our approach is data-efficient, interpretable, and built for safety-critical use.

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Job details

Salary

SGD 82,000 - SGD 220,000

Location

Singapore

Company

NameScaled Foundations
IndustryArtificial Intelligence (AI)
Team Size2

Funding

Last stage

Seed

Investors

Khosla Ventures
EE14

Founders

Ashish Kapoor

Ashish Kapoor

Co-Founder & CEO

LinkedIn
Sai Vemprala

Sai Vemprala

Co-Founder & CTO

LinkedIn
DN

Dinesh Narayanan

Co-Founder, Head of Commercialization

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.