About the Market & Technology

About the Position

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)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.