Robotics Engineer - Singapore: Field Robotics Specialist

The role

Robotics Engineers will integrate technology onto physical hardware and lead customer deployments. The role involves developing robotics, control, and machine learning algorithms for autonomous systems.

What you will do

• Contribute to the end-to-end development platform (GRID).
• Design, develop, and implement robotics, control, and machine learning algorithms for autonomous systems.
• Independently set up robots for real-world deployments, including integrated edge compute and sensor suites.
• Deploy state-of-the-art AI models and techniques on physical hardware.
• Lead field deployment and evaluation efforts.
• Account for common systems constraints such as bandwidth, compute, and latency.
• 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.
• Work closely with AI and Simulation Engineers to transition new techniques to the field.
• Act as a technical liaison between the customer and internal research teams.

Required 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.

Nice to have

• 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 the company

General Robotics is building the intelligence grid for physical AI. The Singapore team works closely with the US team on GRID's research and development as an extended research facility.