Hugo Boyer
Robotics Engineer, EMC Group at Apple
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolHugo Boyer is a bilingual robotics and digital fabrication engineer with 16 years of experience building real-time, simulation, control and distributed systems from prototype to production. Currently at Apple’s EMC group, he combines deep C/C++ and Python systems skills with ROS, GPU programming and cloud/teleoperation expertise developed in autonomous driving and cloud robotics roles. He has shipped scalable tooling and teleoperation features for notable open-source platforms (including contributions to the Apollo autonomous driving project) and designed large-scale simulation and cloud infrastructures at the Open Source Robotics Foundation. A self-taught machinist and electronics enthusiast, Hugo thrives on hands-on interaction with the physical world and applying formal ESA software standards alongside agile practices. Known for turning complex multidisciplinary problems into practical systems, he brings a pragmatic blend of space-grade engineering rigor and maker curiosity.
16 years of coding experience
19 years of employment as a software developer
B.Eng. Mechanical Engineering, B.Eng. Mechanical Engineering at Ecole Polytechnique de Montreal
Github Skills (10)
docker10
apollo10
devops10
dockers10
autonomous-driving10
network-programming9
cprogramming-language9
c-language9
bash8
git8
Programming languages (4)
Github contributions (5)
ApolloAuto/apollo
Sep 2019 - Jan 2020
An open autonomous driving platform
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:25 commits, 11 PRs, 28 comments in 3 months
Contributions summary:Hugo primarily focused on enhancing the autonomous driving platform by modifying the teleoperation backend. Key contributions include adding readers and writers for daemons and modems, enabling UI switches, and implementing functionality to start/stop video encoders. Additionally, the user made changes to docker configurations for accessing NVIDIA libraries and updated the build scripts to improve the development environment and teleoperation features. Furthermore, the user updated the codebase with modifications for command and control functions like Pull Over, E Stop and Resume Cruise, integrating their work with the planning and driving systems.
autonomousmachine-learningautonomyautonomous-drivingapollo
hugomatic/cncOnline
Aug 2009 - Oct 2010
Contributions:21 commits in 1 year 2 months
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