Field Robotics Engineer: Edge AI & Real‑World Deployments

general robotics corporation; Singapore; On-site; SGD 82,000 - 220,000; Full time

Job summary

General Robotics is seeking Robotics Engineers with a Field Robotics specialization to join our team, integrating technology onto hardware and leading customer deployments. You will develop robotics, control, and ML algorithms for autonomous systems, deploy models on real hardware, and optimize performance for edge devices.

You will independently set up robots for real-world deployments, collaborate with AI and Simulation Engineers, and serve as a technical liaison to customers while identifying

Qualifications

• Undergraduate or Master’s degree in Robotics, Computer Science, or a related field, or equivalent practical experience.
• Current and ongoing work authorization in the country of employment.
• 2+ years of experience in robotics, ML, or control algorithms.

Responsibilities

• Contribute to the end-to-end development platform (GRID).
• Design, develop, and implement robotics, control, and ML algorithms for autonomous systems.
• Set up robots for real-world deployments, including edge compute and sensor suites.
• Deploy AI models on physical hardware; lead field deployment and evaluation.
• Account for bandwidth, compute, and latency constraints when modeling choices; optimize for edge devices.
• Diagnose and resolve issues related to platform, hardware, and AI model performance in real-world scenarios.
• Collaborate with AI and Simulation Engineers to transition techniques to the field; communicate insights and metrics from testing.
• Act as a technical liaison between customer and internal teams, driving opportunities for scaling customer value.

Skills

Field deployments

Edge compute

Autonomous systems

C++/Python

ROS/ROS2

Education

Robotics, CS degree or equivalent

Tools

ROS/ROS2

Python

C++

NVIDIA Jetson

Job description

General Robotics is seeking Robotics Engineers with a Field Robotics specialization to join our team, integrating technology onto hardware and leading customer deployments. You will develop robotics, control, and ML algorithms for autonomous systems, deploy models on real hardware, and optimize performance for edge devices.

You will independently set up robots for real-world deployments, collaborate with AI and Simulation Engineers, and serve as a technical liaison to customers while identifying