Software System Integration & Development Engineer, Autonomous Driving

Job Responsibilities

Design, develop, and integrate software components for autonomous vehicle systems, focusing on sensor fusion, perception, and control pipelines.
Implement and maintain CI/CD pipelines, leveraging tools such as Ansible for automation and ensuring reliable, repeatable builds.
Perform algorithm tuning and system profiling to optimize performance on Linux‑based platforms.
Develop and maintain ROS/ROS 2 middleware, ensuring seamless communication between perception, planning, and control modules.
Conduct simulation testing and real‑world verification, including log triage and bug tracking to guarantee system robustness.
Collaborate with cross‑functional teams (hardware, data science, product) to integrate new sensors and validate end‑to‑end functionality.
Automate processes for software release, testing, and deployment, improving efficiency and reducing manual effort.
Mentor junior engineers and contribute to best‑practice documentation for software engineering within the autonomous‑driving domain.

Bachelor’s degree or higher in Computer Science, Electrical Engineering, Robotics, or a related technical field.
Minimum of 3 years of professional experience in software engineering, specifically within autonomous systems or robotics.
Proficiency in C++ and Python programming languages.
Hands‑on experience with Linux environments and ROS/ROS 2 middleware.
Strong knowledge of algorithm tuning, system profiling, and performance optimization.
Experience with CI/CD tools, Ansible, and process automation for large‑scale software projects.
Ability to communicate effectively in both English and Japanese, both written and verbally.
Solid understanding of sensor integration, simulation testing, and verification methodologies.

Experience with bug tracking systems and log triage for complex robotics applications.
Familiarity with middleware integration and inter‑process communication frameworks.
Background in autonomous driving stacks, particularly with open‑source platforms.
Knowledge of process automation and infrastructure‑as‑code practices.
Strong problem‑solving mindset and ability to work in fast‑paced, innovative environments.