Important Notice: For this position, we are only able to accept applications from citizens of Schengen Area countries. This restriction does not apply to ETHZ and EPFL students who are required to complete compulsory internships as part of their studies.
What you'll be doing
Work closely with senior engineers to integrate SLAM modules with hardware components and contribute ideas to enhance system robustness and accuracy.
Support the team in benchmarking, evaluating, and developing novel state-of-the-art localization and mapping algorithms for robotic applications.
Engage in continuous learning and gain exposure to recent developments from the SLAM and computer vision literature.
A day in the life
As a Specialised Software Development Engineer, you'll immerse yourself in challenging projects that push the boundaries of technology.
Your day might involve fine-tuning perception algorithms for drone navigation, developing simulation scenarios to test edge cases in warehouse robotics, or collaborating with and learning from hardware engineers to optimize software for new sensor configurations.
You'll work closely with as well as learn from roboticists, ML scientists, and systems engineers to solve complex challenges in autonomy and participate in design reviews for new robotic features.
At least a BSc in Computer Science, Robotics, Engineering, or equivalent discipline.
Previous coursework or projects related to computer vision, SLAM, or 3D geometry.
Experience with C++ and / or Python.
Eagerness to learn and contribute in a team environment.
Strong problem-solving and analytical skills.
Proven experience implementing or extending SLAM systems.
Exposure to state of the art dense visual SLAM or multi-view stereo approaches.
Familiarity with sensor fusion techniques involving cameras, LiDAR, or IMUs.
Knowledge of relevant frameworks or libraries such as OpenCV, GTSAM, Ceres, Eigen, or similar.
Experience with ROS/ROS 2 and real-world robotic data collection.
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