Our Tokyo Engineering team is rapidly scaling to meet the evolving needs of enterprise customers — from a handful of robots to large fleets operating in live warehouses. We build next-generation logistics automation solutions powered by rapyuta.io, our cloud robotics platform.
As a Quality Assurance Architect, you will architect and own the entire QA ecosystem — spanning test strategy, infrastructure, automation, CI/CD integration, and quality governance across multiple agile teams. You will work hands-on with real and simulated robots, define scalable testing frameworks, and lead initiatives to embed quality into every stage of the product lifecycle.
This is a strategic, high-impact role for a QA professional who thrives in fast-evolving environments and can bring together software, hardware, and systems-level quality engineering into a unified pipeline.
Key Responsibilities
- Collaborate with Product Managers, System Architects, and Agile teams to ensure quality gates across all stages of release.
- Define and implement an end-to-end QA strategy covering simulation, hardware-in-the-loop (HIL), API, integration, and field-level testing.
- Build and maintain test automation frameworks (Python/C++/ROS ecosystem) integrated with CI/CD pipelines (GitHub Actions, Jenkins, etc.).
- Design, review, and optimize test plans, test cases, and acceptance criteria in alignment with agile development processes.
- Set up automated regression, load, and performance testing suites for robotics systems and APIs.
- Mentor QA and development teams in testing best practices, metrics, and continuous improvement.
- Drive defect triage and root-cause analysis to prevent recurrence and ensure traceability.
- Contribute to process maturity and tooling roadmap for organization-wide QA scalability.
Requirements
Minimum Qualifications
- 5+ years of progressive experience in software quality assurance or test automation, with at least 2 years in a lead or architect role.
- Experience leading, mentoring QA engineers and driving quality best practices across teams.
- Bachelor’s degree in engineering, Computer Science, or equivalent.
- Understanding of system-level validation, including integration across multiple components (firmware, middleware, UI, APIs).
- Solid grounding in Agile and DevOps methodologies.
- Deep understanding of Linux environments, version control (Git), and modern CI/CD pipelines.
- Proven ability to design scalable automation architectures and implement reusable QA libraries.
- Strong expertise in Python testing frameworks (e.g., Pytest, Robot Framework).
- Strong analytical, documentation, and communication skills.
Preferred Qualifications
- Familiarity with containerized environments (Docker, Kubernetes) and cloud-based testing.
- Experience in performance and reliability testing for distributed systems.
- ISTQB certification or equivalent QA credentials.
- Japanese language proficiency is a plus.
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