Simulation & Perception Engineer Internship

Focus Areas

• Procedural scene generation in simulation (terrain, lighting, asset placement)
• Synthetic data generation for training ML models across varied environmental conditions
• Enhancement of physics-based sensor models for LiDAR and cameras
• Automated test creation in simulation for construction site scenarios and machine behaviors (e.g. excavation with truck loading)

Required Qualifications

• Master's level study (e.g. in robotics, computer science, mechanical or electrical engineering)
• Advanced proficiency in Python
• Working knowledge of C++
• Experience with ML pipelines and 3D perception (e.g. object detection, point cloud processing)

Beneficial Skills

• Experience with robotics simulation tools (e.g. Gazebo, MuJoCo, NVIDIA Isaac Sim)
• Experience with ROS 2 or other robotics frameworks
• Proficiency in Linux and Git
• Familiarity with sensor modeling (LiDAR, cameras) or synthetic data generation
• Experience conducting research (e.g. through an academic lab or previous internships)
• Interest or prior experience in heavy construction or autonomous vehicles
• Experience with software testing (unit, component, or functional tests)