Mid / Senior SLAM Engineer

Zürich,ZurichFull timesenior
OtherEngineer
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Quick Summary

Overview

Gravis Robotics is a startup that turns heavy construction machines into intelligent and autonomous robots.

Technical Tools
OtherEngineer
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.
  • 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.
  • 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.
  • Experience with RADAR and GPS/GNSS integration into SLAM systems.
  • Experience with ROS2.
  • Location & Eligibility

    Where is the job
    Zurich
    On-site at the office
    Who can apply
    Same as job location
    Listed under
    Worldwide

    Listing Details

    Posted
    December 17, 2024
    First seen
    March 26, 2026
    Last seen
    April 27, 2026

    Posting Health

    Days active
    32
    Repost count
    0
    Trust Level
    23%
    Scored at
    April 28, 2026

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    Mid / Senior SLAM Engineer