Robotics Systems Engineer

Our Tokyo Engineering team is evolving rapidly to address the increasing demands of our customers—from managing a few robots to coordinating hundreds: from operating a small team to structuring multiple collaborative squads. We work closely with leading enterprise customers in Japan to deliver advanced robotics solutions, leveraging rapyuta.io, our cutting-edge cloud robotics platform, and the broader ecosystem. The team's mission is to create pioneering, scalable, and robust robotics systems.

The Systems Engineer will bridge robotics engineers, QA engineers, and Deployment engineers, ensuring seamless integration of robotics software and infrastructure.

The ideal candidate thrives in a dynamic, collaborative environment and enjoys working directly with state-of-the-art robotics systems and platforms.

The Systems team owns a broad set of responsibilities that collectively support deployment, validation, and long‑term reliability of robotic systems. Team members are expected to contribute to one or more of these areas, collaborate closely with peers, and help the team achieve its shared objectives.

The responsibilities below describe the scope of work handled by the team as a whole.

Deployment Tooling & System Configuration

Build and maintain deployment automation and reusable deployment pipelines.

Improve standardization and repeatability of deployments across environments.

Design and maintain system configuration tooling for validation and consistency.

Prepare configuration packages for testing and production deployments.

Quality Assurance Infrastructure & Continuous Integration

Maintain and support shared QA infrastructure integrated into CI pipelines for robotic solutions.

Enhance robustness and consistency of automated test execution.

Support infrastructure for automated validation and nightly regression across hardware–software integrations.

Support development and maintenance of hardware-in-the-loop (HIL) test systems.

Ensure HIL infrastructure integrates reliably with development and validation workflows.

Simulation Infrastructure

Build and maintain simulation environments that support safe and scalable validation.

Enable development teams to validate changes before system integration.

Use simulation outputs for benchmarking, test planning, and performance analysis.

Automation & Long-Term System Improvements

Drive automation initiatives that reduce manual operational work.

Improve system robustness through better diagnostics, observability, and performance tuning.

Operational & Infrastructure Support

Support internal development and testing environments.

Collaborate across teams to ensure system readiness for validation and demonstrations.