About this Role
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.
Customer Support & Growth: Act as a technical liaison between the customer and internal research teams, while identifying and driving opportunities for scaling customer value, including new use cases.
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.
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.
Desired 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.
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: HR@GeneralRobotics.company