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Robotics navigation engineer

icon building Company : Dexmate
icon briefcase Job Type : Full Time

Number of Applicants

 : 

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Job Description - Robotics navigation engineer

We are an early-stage robotics startup working on building general-purpose mobile robots that can do daily manipulation tasks. We are looking for a creative, skilled, and motivated robotics engineer to join our founding team in advancing robot dexterity.

Responsibilities

  • Design, implement, test, and deploy state-of-the-art planning, 3D navigation, perception algorithms on real robots.

  • Develop reliable and robust navigation system for complex indoor environments.

  • Improve and maintain our navigation software stack.

  • Build and ship high-quality and well documented Python and C++ packages with unit and integration tests.

  • Work with other teams to build a high-performance robotics system.

Qualifications

  • Graduate degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, etc., or equivalent research experience.

  • Passionate about working with robots and building robot products.

  • Experienced with SOTA navigation and planning algorithms.

  • Excellent analytical and problem-solving skills.

  • Outstanding research/engineering skills for rapid research prototyping, open-source code release, or product development.

  • Proficient with Python, C++, ROS/ROS2; CUDA and Rust experiences are a plus.

  • Proficient with deep learning libraries such as PyTorch/TensorFlow/Jax.

  • Experience with real robot experiments.

  • Experienced with robot simulators such as Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc.

Bonus Qualifications

  • Hands-on experience with deployment-ready navigation system using RGB cameras or 3D lidars is a plus.

  • Hands-on experience with large-scale robot fleet management is a plus.

  • Hands-on experience with real robot arms/hands/legs is a plus.

  • Deep knowledge of robotics (kinematics, dynamics, control, SLAM, etc.) is a plus.

  • Experience with deploying AI models onto NVIDIA Jetson/DRIVE embedded systems is a plus.

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