Senior Robotics AI Engineer - Autonomous Navigation & SLAM

techstreet

Selangor

On-site

MYR 120,000 - 180,000

Full time

14 days+

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Job summary

techstreet is seeking a Senior Robotics AI Engineer to design and implement ML and AI algorithms for autonomous navigation, obstacle avoidance, and decision-making in AGVs. You will collaborate with hardware and software teams to integrate AI into AGV systems seamlessly.

You will work on SLAM, motion planning, and real-time control, develop computer vision systems using cameras and LiDAR, run simulations and field tests, and document designs and testing protocols.

Qualifications

  • Bachelor's or Master's degree in Robotics, Artificial Intelligence, Computer Science, Mechatronics, or related field.
  • Minimum 2–4 years of experience in AI, robotics, or autonomous systems development.
  • Proficiency in Python, C++, or ROS (Robot Operating System).
  • Strong knowledge of ML frameworks (e.g., TensorFlow, PyTorch).
  • Hands-on experience with SLAM, path planning, and real-time control systems.

Responsibilities

  • Design and implement ML and AI algorithms for autonomous navigation, obstacle avoidance, and decision-making for AGVs.
  • Collaborate with hardware and software teams to integrate AI into AGV systems seamlessly.
  • Develop SLAM and motion planning algorithms to optimize AGV performance in dynamic environments.
  • Build computer vision systems for object detection and environment perception using cameras and LiDAR.
  • Conduct simulations and field tests to validate AGV performance and ensure system reliability.
  • Create detailed technical documentation including system designs and testing protocols.
  • Stay updated with robotics and AI trends to drive innovation in AGV solutions.

Skills

Python
C++
ROS
TensorFlow
PyTorch
SLAM

Education

Bachelor's or Master's in Robotics/AI/CS/Mechatronics

Tools

ROS
OpenCV
TensorFlow
PyTorch

Job description

techstreet is seeking a Senior Robotics AI Engineer to design and implement ML and AI algorithms for autonomous navigation, obstacle avoidance, and decision-making in AGVs. You will collaborate with hardware and software teams to integrate AI into AGV systems seamlessly.

You will work on SLAM, motion planning, and real-time control, develop computer vision systems using cameras and LiDAR, run simulations and field tests, and document designs and testing protocols.

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