Robotic Engineer

Job Title:

Robotics Engineer

We are seeking a Robotics Engineer with expertise in one or more specialized areas, including computer vision, robotic motion control, and embedded Ai development. As a member of our multidisciplinary team, you will work on cutting-edge robotics projects that require strong technical skills and the ability to integrate different systems seamlessly. Applicants should possess experience in at least one of the following focus areas:
Computer Vision
, Robotics Motion
, or Embedded Ai
.

• Computer Vision Development:
  • Develop and optimize algorithms for object detection, instance segmentation, and object pose estimation in complex scenarios, including occlusions and stacked objects.
  • Design efficient grasp point prediction algorithms to provide stable grasp poses for robotic grippers.
  • Set up data collection pipelines, including data augmentation, annotation, and training dataset management.
  • Optimize and deploy AI models for real-time performance on embedded platforms (e.g., NVIDIA Jetson).
• Robotic Motion Control:
  • Build kinematic and dynamic models for robotic arms and create high-precision motion planning and trajectory optimization algorithms.
  • Design multi-sensor fusion control systems to improve robotic arm stability and accuracy during operations in complex environments.
  • Research advanced grasping strategies and force control to support tasks in challenging scenarios, such as stacked environments.
  • Integrate robotic arm control systems with vision modules and embedded platforms.
• Embedded AI Development:
  • Optimize and deploy AI models on embedded devices, enhancing system performance and real-time responsiveness.
  • Develop and optimize hardware drivers to enable communication between sensors and AI modules.
  • Design edge computing frameworks to support seamless collaboration between vision recognition and robotic control.
  • Maintain and upgrade embedded systems for stability and scalability.

Applicants should have expertise in at least one of the following technical domains:

• Computer Vision:
  • Familiar with mainstream object detection and segmentation algorithms (e.g., YOLO, SSD, Mask R-CNN).
  • Proficient in 3D vision and pose estimation algorithms (e.g., Point Net, PoseCNN).
  • Experience in grasp point prediction using algorithms like Grasp Net or GPD.
  • Skilled in deep learning frameworks such as PyTorch or Tensor Flow, with experience in model optimization and deployment (e.g., Tensor
    
    RT, ONNX).
• Robotic Motion Control:
  • Expertise in kinematics and dynamics, including D-H parameter modeling and Lagrange or Newton-Euler methods.
  • Familiar with trajectory planning algorithms (e.g., RRT, CHOMP) for smooth motion paths.
  • Experience in grasping and force control strategies (e.g., impedance or adaptive control).
  • Skilled in ROS/ROS 2 for integrating sensors and vision modules.
• Embedded AI Development:
  • Familiarity with embedded platforms like NVIDIA Jetson, Raspberry Pi, or TPU.
  • Proficient in AI model optimization tools (e.g., Tensor
    
    RT, ONNX, Deep Stream).
  • Advanced programming skills in C/C++ and Python, with hardware driver development experience.
  • Knowledge of real-time systems like FreeRTOS or device communication protocols (e.g., CAN, Ether
    
    CAT).

• General Requirements:
  • 3–5 years of experience in computer vision, robotic motion control, or embedded AI development.
  • Proven project experience in algorithm development, model deployment, or system integration.
• Preferred Experience s:
  • Hands-on experience in complex scenarios (e.g., occlusions, stacking, multi-object environments).
  • Deployment of vision algorithms or motion control on embedded platforms (e.g., NVIDIA Jetson).
  • Participation in full-cycle development of robotic systems, from design to real-world deployment.

• Strong cross-team collaboration skills to work effectively with hardware, software, and system engineers.
• A passion for robotics and a drive to explore cutting-edge technologies to expand system capabilities.

If you are skilled in any of the above areas and eager to contribute to advanced robotics systems, we encourage you to apply!