Robotics and automation controls engineering for industrial applications
AETech is a 41-person engineering org in Beijing focused on robotics automation and control systems. The stack reveals a classic embedded/robotics shape—PLC, C++, Siemens, ARM, DSP—paired with modern simulation tooling (Gazebo, Mujoco, PyBullet) and ROS/ROS 2. Active projects center on reinforcement learning for robot control and sim-to-real deployment, indicating a shift toward AI-driven automation rather than static control logic. The org is engineering-heavy (13 of 25 roles) with mid-to-senior technical depth, but pain points highlight market expansion and customer intelligence gaps—suggesting growth friction in sales execution rather than product maturity.
AETech develops robotics controls and automation systems for industrial applications. The company combines traditional industrial automation expertise (PLC, Siemens) with modern robotic simulation and AI—particularly reinforcement learning for robot training and real-world deployment. The team operates primarily in China and is structured around engineering-led product development, with supporting sales and operations functions. Current focus areas include strengthening internal control systems and expanding market reach, while addressing customer acquisition and retention challenges typical of early-stage industrial automation vendors.
C++, C, and Python are core. The stack also includes PLC programming for industrial controllers, ARM assembly for embedded systems, and DSP development. ROS and ROS 2 provide the robotics middleware layer.
Primary projects include building reinforcement learning training platforms for robots and deploying RL strategies from simulation to real robotic systems (sim2real). They're also building internal control and audit systems.
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