Robot Hardware & Systems Integration Engineer

Key Responsibilities

Support the deployment, testing, and engineering adaptation of causal world models and related algorithms across different robotic platforms.
Handle the assembly, disassembly, commissioning, maintenance, and routine fault diagnosis of robot hardware, reducing the impact of equipment issues on R&D progress.
Analyze coupled issues across mechanical structures, sensors, actuators, and control systems, and work with relevant teams to identify hardware-software integration faults.
Co-design test plans with algorithm and software teams, translating real-world robot issues into clear and reproducible engineering feedback.
Maintain engineering records covering robot equipment, critical components, fault symptoms, and repair processes, and progressively build reusable debugging methods.
Evaluate the structural characteristics and interface differences of different robot platforms and provide engineering recommendations for cross-platform adaptation.
Participate in technical discussions and joint adaptation work with robot-platform or critical-component vendors as the business progresses.

A sound understanding of the fundamental mechanical architecture of robotic systems and how structural design affects motion, payload, accuracy, and reliability.
Experience in integrated debugging of robotic hardware and software systems across mechanical, electrical, sensing, actuation, and software layers.
Strong hands-on capability and the ability to independently assemble, commission, maintain, and troubleshoot robot platforms.
The ability to communicate clearly with algorithm, software, and external hardware partners and break complex problems into verifiable engineering tasks.
The initiative to establish working methods and drive issues to closure in an uncertain early-stage R&D environment.

Engineering experience with robotic arms, mobile robots, dexterous manipulation, or other embodied-intelligence platforms.
Experience in robot-platform integration, laboratory equipment maintenance, prototype development, or joint projects with robot-platform manufacturers.
Familiarity with common reliability and maintainability issues from experimental validation through real-world deployment.
The ability to read English technical documentation and collaborate with technical teams across locations.

Contribute directly to bringing causal world models from research into real robotic systems.
Solve concrete, verifiable engineering problems across multiple robotic platforms.
Work closely with causal AI, world-model, and robotics teams, connecting algorithms, robot hardware, and the physical environment.
Help build the company's robotics systems integration and deployment capabilities in China.