Christoph Tobler
Lead Software Engineer - Computer Vision at Magic Leap
Zurich, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolChristoph Tobler is a Lead Software Engineer specializing in computer vision with a decade of experience building perception systems for AR/VR and robotic platforms, currently based in Zurich. He progressed through roles at Magic Leap from engineer to lead, driving computer-vision features and production-ready sensor integration. His background in mechanical engineering (ETH Zurich) and hands-on embedded work shows up in deep contributions to flight-software ecosystems like PX4 and MAVROS, where he improved IMU handling, sensor orientation conventions and realistic simulator plugins. Christoph blends low-level sensor fusion and firmware adjustments with higher-level vision algorithms, making him adept at closing the gap between hardware realities and perception stacks. Colleagues describe him as pragmatic and detail-oriented—equally comfortable fixing coordinate-frame bugs in C++ as leading a vision engineering team.
10 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Eidgenössische Technische Hochschule Zürich
Github Skills (19)
c-language10
px410
gazebosim10
autopilot10
mavlink10
imu10
drones10
sys10
system-integration10
optical-flow10
sensor-fusion10
embedded10
lidar10
cprogramming-language10
ros10
Programming languages (12)
Github contributions (5)
RomanBapst/sitl_gazebo
Dec 2016 - Feb 2018
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:37 commits in 1 year 2 months
Contributions summary:Christoph primarily worked on the `gazebo_opticalFlow_plugin` within the `sitl_gazebo` repository, adapting it to the flow package. They modified the plugin to adapt to the flow package, setting output rates and accumulating gyro measurements. The user also fixed direction issues and made improvements to several sensor plugins (lidar, vision position estimate) to make them more realistic.
PX4/PX4-Autopilot
Dec 2016 - Feb 2018
PX4 Autopilot Software
Role in this project:Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:109 commits, 129 PRs, 146 pushes in 1 year 2 months
Contributions summary:Christoph made several contributions related to the PX4 Autopilot, primarily focusing on sensor integration and control system enhancements. Their work involved modifying the simulator to account for sensor rotation parameters and integrating local position data for takeoff procedures. The user also added filters to the MPU9250 sensor wrapper, integrated the LL40LS lidar for Aerofc, added killswitch support for the Snapdragon PWM driver, and updated various distance sensor drivers to align with a new orientation convention.
multicopteravoidancedroneuasraspberry-pi
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