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Gravis Robotics

Posted 18 months ago

Open

Mid / Senior SLAM Engineer

ZurichOn-siteFull-time

AI Summary

Senior SLAM Engineer responsible for designing, prototyping, and deploying real-time localization, mapping, and calibration systems for autonomous heavy machines using lidar, inertial, visual, and GPS data.

About this role

Gravis Robotics is a startup that turns heavy construction machines into intelligent and autonomous robots. Our unique combination of learning-based automation and augmented remote control lets one operator safely conduct a fleet of earthmoving machines in a gamified environment. Our team has over a decade of academic experience honing the cutting edge of large-scale robotics, and is rapidly growing to bring that expertise into a trillion dollar industry through active deployments with market leaders.

About the Job
At Gravis, we engineer solutions at the nexus of hardware and software every day: bringing new perception and control technologies onto awesome, autonomous machines. Our Rooftop Autonomous Control Kit (Rack) combines sensors, compute, communication and networking modules toward a manufacturer-agnostic solution that can be applied to a variety of construction machines regardless of type and age. We are seeking a skilled SLAM Engineer for our perception team: you will help design, develop, test and deploy customized forms of state-of-the-art localization+mapping, state estimation and calibration algorithms—while ensuring production quality implementation and timely execution.

Responsibilities

  • Design, prototype, and deploy advanced real-time localization, mapping, and calibration systems for autonomous heavy machines, by means of lidar, inertial, visual and GPS data.
  • Establish and optimize testing procedures and performance metrics to ensure robust system behavior.
  • Collaborate closely with multidisciplinary experts to improve the reliability and performance of the entire system.
  • Required Qualifications

  • Master’s or PhD in Computer Science, Mechanical Engineering, Electrical Engineering or a related field.
  • 3+ years of experience in developing and implementing robust localization + mapping algorithms.
  • Experience writing production-quality C++/Python code in a Linux development environment.
  • Experience with building/refining SLAM frameworks using Lidar-Intertial-Visual data.
  • Risk management skills with the ability to re-prioritize work packages and meet deadlines in a fast paced work environment.
  • Excellent communication skills with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
  • Additional Beneficial Skills

  • Experience with RADAR and GPS/GNSS integration into SLAM systems.
  • Experience with ROS2.
  • Skills

    C++CalibrationGPS/GNSSGPS/GNSS IntegrationInertialLiDARLinuxLocalizationMappingMulti-sensor FusionPerformance MetricsProduction-quality SoftwarePythonRadarROSROS2SLAMState EstimationTesting ProceduresVisual SLAM

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