Jake Mclaughlin is a senior software engineer specializing in pose estimation, calibration, and autonomy for mobile robots, with nine years of experience spanning industry and academic research. Currently leading pose and calibration work at Rivian after driving perception and embodied-AI projects at Rockwell Automation and OTTO Motors, he has developed practical calibration pipelines and one-shot stereo methods that reduce setup time and space requirements. His background includes implementing tightly coupled visual-lidar-inertial SLAM, robust map alignment for infrastructure monitoring, and drift-reducing feature trackers—skills honed during a MASc in Mechatronics from the University of Waterloo. Comfortable moving ideas from research to production, he combines hands-on C++ systems work with a clear focus on deployable autonomy stacks. Based in Palo Alto, he brings a rare mix of robotics research rigor and field-proven calibration solutions that accelerate AMR and mobile manipulator deployments.
8 years of coding experience
2 years of employment as a software developer
Honours Bachelor of Science - HBSc, Computer Science, Honours Bachelor of Science - HBSc, Computer Science at Western University
Master of Applied Science - MASc, Mechatronics Engineering, Master of Applied Science - MASc, Mechatronics Engineering at University of Waterloo
Tightly coupled lidar-visual-inertial slam using the fuse framework
Contributions:1 review, 26 PRs, 163 pushes in 1 year 6 months
computer-visionlidarodometryroboticsros
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Jake Mclaughlin - Senior Software Engineer, Pose And Calibration