What are the responsibilities and job description for the Robot Simulation - Software Engineer position at Avride?
About The Team
Avride is an autonomous driving company with the mission to make transportation safer and more efficient through cutting-edge technology. We hold a unique position in the market, developing self-driving taxis and delivery robots. Our delivery robot division already has production in the US and Japan. Our compact team consists of highly talented engineers with extensive expertise. Joining us means diving into a startup atmosphere and making a significant impact on the company's results and the autonomous industry as a whole.
About The Role
We are seeking a software engineer to join our robot simulation team. You will work on building a hybrid simulation framework that combines real-world data with synthetic environments. This includes simulating at the sensor level (e.g., LiDAR point clouds) as well as integrating behavioral cloning models into the simulation pipeline. Your work will enable realistic, large-scale testing of motion planning and ML-based control algorithms in diverse urban conditions.
What You'll Do
Avride is an autonomous driving company with the mission to make transportation safer and more efficient through cutting-edge technology. We hold a unique position in the market, developing self-driving taxis and delivery robots. Our delivery robot division already has production in the US and Japan. Our compact team consists of highly talented engineers with extensive expertise. Joining us means diving into a startup atmosphere and making a significant impact on the company's results and the autonomous industry as a whole.
About The Role
We are seeking a software engineer to join our robot simulation team. You will work on building a hybrid simulation framework that combines real-world data with synthetic environments. This includes simulating at the sensor level (e.g., LiDAR point clouds) as well as integrating behavioral cloning models into the simulation pipeline. Your work will enable realistic, large-scale testing of motion planning and ML-based control algorithms in diverse urban conditions.
What You'll Do
- Design and implement core components of a scalable hybrid simulator that blends real-world map and ride data with synthetic content.
- Develop efficient C
