Robotics Engineer - Singapore: Field Robotics 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 seeking Robotics Engineers with a Field Robotics specialization to join our team to integrate our technology onto physical hardware and lead customer deployments. This role offers a front-row seat to the transformative impact of Physical AI and the opportunity to collaborate with a world-class team of AI and robotics pioneers.

Responsibilities Contribute to the end-to-end development platform (GRID). Design, develop, and implement robotics, control, and machine learning algorithms for autonomous systems. System Integration: Independently set up robots for real-world deployments, including integrated edge compute and sensor suites. Model Deployment: Deploy state-of-the-art AI models and techniques on physical hardware; lead field deployment and evaluation efforts. Systems Optimization: Account for common systems constraints—such as bandwidth, compute, and latency—when making modeling choices. Identify and implement optimization opportunities to improve performance on edge compute devices. Diagnose and resolve complex technical issues related to the platform, robot hardware, and AI model performance in real-world scenarios. Cross-functional Collaboration: Work closely with AI and Simulation Engineers to transition new techniques to the field; communicate critical insights and metrics from real-world testing. Platform Growth: Translate field-tested patterns and learnings into scalable, streamlined capabilities within the GRID platform. 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. 2+ years of experience in the development and implementation of robotics, machine learning, or control algorithms. Strong proficiency in robotics hardware/software stacks (e.g., ROS/ROS2) and programming languages (e.g., Python, C++). Demonstrated experience implementing and evaluating end-to-end robot learning systems. Ability to travel to customer sites as needed. Preferred

Qualifications Proven track record of building and deploying controllers, data acquisition pipelines, and machine learning or classical robotics algorithms on multiple robotic platforms. Experience utilizing constrained edge compute devices (e.g., NVIDIA Jetson) for data acquisition and model inference. Experience handling sensitive data and adhering to strict security protocols. 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.