Robotics Software Engineer - Localization & Perception

Rapyuta Robotics· Engineering
Apply Now ↗
📍 Koto City, Tokyo, JapanFull time

About this role

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 validations.
  • Track emerging research; propose and prototype improvements to keep us at the state of the art.

Minimum skills:

  • 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.

Preferred skills:

  • 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.
  • Competitive salary
  • Working with exceptionally talented and diverse team
  • Visa and relocation support

Frequently Asked Questions

Is the salary disclosed for the Robotics Software Engineer - Localization & Perception position at Rapyuta Robotics?
The salary for this Robotics Software Engineer - Localization & Perception role at Rapyuta Robotics is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Robotics Software Engineer - Localization & Perception position at Rapyuta Robotics located?
This Robotics Software Engineer - Localization & Perception role at Rapyuta Robotics is based in Koto City, Tokyo, Japan. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Robotics Software Engineer - Localization & Perception role at Rapyuta Robotics full-time or part-time?
This is listed as a Full time position. It is posted as a Robotics Software Engineer - Localization & Perception role in the Engineering department at Rapyuta Robotics.
Which team or department does the Robotics Software Engineer - Localization & Perception at Rapyuta Robotics belong to?
This Robotics Software Engineer - Localization & Perception position is part of the Engineering department at Rapyuta Robotics. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Robotics Software Engineer - Localization & Perception position at Rapyuta Robotics?
Click the "Apply Now" button on this page. You will be redirected to Rapyuta Robotics's official application portal hosted on workable where you can submit your application directly.
When was the Robotics Software Engineer - Localization & Perception job at Rapyuta Robotics posted?
This Robotics Software Engineer - Localization & Perception position at Rapyuta Robotics was posted on May 19, 2025. Apply as soon as possible — early applications are often reviewed first.
Robotics Software Engineer - Localization & Perception
Rapyuta Robotics
Apply for this role ↗

You'll be redirected to Rapyuta Robotics's official application page on workable.