Robotics Career Guide

Install, configure, and commission robots at customer sites across manufacturing, logistics, and service environments. This role bridges the gap between robot manufacturers and end-users, requiring hands-on technical skills in navigation setup, sensor calibration, and multi-OEM system integration.

Perform preventive maintenance, diagnostics, and repair on industrial robots, cobots, and autonomous mobile robots. This role demands strong electromechanical troubleshooting skills and the ability to minimize downtime in high-throughput production environments where every hour of robot idle time costs thousands of dollars.

Train robots through demonstration, teleoperation, and imitation learning pipelines. This emerging role combines hands-on dexterity with machine learning knowledge, enabling robots to learn new tasks via human demonstration rather than traditional programming. Often called the 'cyber laborer' role in China's robotics industry.

Oversee multi-robot operations in warehouses, factories, and logistics hubs. Fleet managers monitor robot health, optimize task allocation, manage traffic de-confliction, and ensure uptime SLAs are met. This role combines operations management with technical robotics knowledge across heterogeneous fleets from multiple OEMs.

Ensure robot deployments meet all applicable safety standards and regulatory requirements. This role covers risk assessment, safety system design, regulatory documentation, and ongoing compliance auditing for ISO 10218, ISO/TS 15066, EU AI Act, EU Machinery Regulation, and region-specific standards including China's GB/T standards.

Design and implement robotics software using ROS 2, the industry-standard middleware framework. ROS 2 developers build navigation stacks, perception pipelines, motion planning systems, and hardware drivers. With ROS 1 reaching end-of-life in May 2025, the migration wave has created urgent demand for ROS 2 expertise.

Operate robots remotely using VR interfaces, motion capture suits, and haptic feedback systems. Teleoperation specialists work in hazardous environments (nuclear, subsea, space), surgical robotics, and increasingly in humanoid robot data collection where human demonstrations are used to train AI models at scale.

Advise businesses on robot selection, deployment strategy, ROI analysis, and workforce transition planning. Solutions consultants serve as the bridge between robot manufacturers and enterprise customers, requiring both technical literacy and business acumen to match the right robotic solutions to specific operational challenges.

Develop and deploy Vision-Language-Action (VLA) models that enable robots to perceive, reason, and act in the physical world. This role combines deep learning expertise with robotics domain knowledge, working at the frontier of foundation models for robot control — training, fine-tuning, and deploying systems like pi0, GR00T, and OpenVLA.

Conduct frontier research advancing the core science of embodied intelligence: world models, generalist robot policies, multimodal foundation models for action, long-horizon planning, and skill libraries. Publishes at top venues (NeurIPS, CoRL, RSS, ICRA) and develops novel architectures such as diffusion policies, world models, and agentic memory systems.