Physical AI Engineer

The engineer leads the technical transformation of client operations, including non-routine tasks in factories and warehouses that have been difficult to automate. JDSC focuses on building AI, control systems, and digital twins, while partners handle hardware manufacturing and maintenance.

Responsibilities include interviewing clients, understanding operational challenges, and clarifying the technical requirements needed for solutions. The engineer designs and implements architectures combining AI and robotics technologies, including reinforcement learning, imitation learning, and foundation models. The role also plans and leads rapid proof-of-concept projects using simulators such as IsaacSim and Gazebo.

The engineer integrates solutions into ROS 2 systems and runs improvement cycles after deployment. The role also involves explaining next-generation user experiences, such as natural-language instructions using LLMs and VLMs, to non-technical stakeholders including clients, sales personnel, and executives, and building agreement among them.

The stated development environment includes TypeScript, JavaScript, SQL, and Python. Named frameworks and technologies include GraphQL, Node.js, and Prisma. Databases and data platforms include MySQL, PostgreSQL, BigQuery, Databricks, and Microsoft Fabric. Cloud and data environments include Google Cloud, AWS, Azure, and Snowflake. Software management tools include GitHub, Jira, Slack, and Confluence. Business intelligence tools include Power BI and Tableau.

The posting states that support is available for qualification acquisition, book purchases, and an O'Reilly online subscription. Software-tool subsidies include advanced AI tools such as ChatGPT and Claude Code. The role may also provide opportunities to develop skills in strategic consulting and data science. Working conditions mentioned include flextime and a childcare-leave system. The work location is in Bunkyo, Tokyo.