Robotics Software Engineer - Localization & Perception

Rapyuta Robotics Koto-ku, Tokyo June 19 2026
  • 💴 No salary range given
  • 🏢
    No remote
  • 🌏
    Apply from abroad
    Relocate to Japan
  • 💬
    No Japanese required
    Business English
  • 🧪
    Intermediate level
    3+ years experience required
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About Rapyuta Robotics

Rapyuta Robotics Koto-ku, Tokyo

Building low­ cost, lightweight autonomous mobile robots with high-level intelligence distributed in the cloud, and enabling such robots to offload some of their heavy computation and seamlessly learn and share experiences with one another.

Key benefits

  • Open, inclusive, safe environment
  • There's always something to learn
  • Relocation support

About the position

We are looking for a Robotics Software Engineer who excels in localization, SLAM, and perception-driven robotics. You will design, build, and optimize algorithms that let our robots understand where they are and what surrounds them—then deliver those capabilities in production-grade ROS/Docker environments. If you thrive on turning cutting-edge research into reliable, real-world performance, we’d love to meet you.

Responsibilities

  • Design, implement, and refine localization & SLAM pipelines for mobile and stationary robots.
  • Build perception modules for 3-D point-cloud processing, object detection, tracking, and sensor fusion.
  • Integrate, test, and release software in ROS with Docker-based CI/CD.
  • Profile, debug, and tune performance on CPU / GPU hardware for real-time operation.
  • Work with mechanical, firmware, and product teams to ship robust, scalable solutions.
  • Own features end-to-end—from architecture through field validation.
  • Track emerging research; propose and prototype improvements to keep us at the state of the art.

Requirements

  • 3+ years delivering localization and SLAM in production robots.
  • Deep knowledge of perception libraries (PCL or equivalent), classical & ML-based detection/tracking, and multi-sensor data fusion.
  • Expert C++ and solid Python; strong grasp of software design patterns, testing, and code review.
  • Hands-on ROS 1 / 2, Docker, and automated build / deploy pipelines.
  • Demonstrated success bringing robots from lab to field.

Nice to haves

While not specifically required, tell us if you have any of the following.

  • M.S. or Ph.D. in Robotics, Computer Science, or related discipline.
  • GPU programming (CUDA, TensorRT) and real-time optimization.
  • Embedded or hardware-level integration experience.
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