Robotics Manipulator Engineer (Software Architecture)

Business Unit: Manufacturing R&D

Division: Core R&D Lab

Department: Manipulator Cell

Your Mission

This position is responsible for building a robotic manipulation software platform that transforms proven bin-picking technologies into a scalable, maintainable, and deployable product for rollout across manufacturing facilities worldwide. The successful candidate will lead the internalization, standardization, and productization of the company’s robotic manipulation software platform.

What To Expect

Define and maintain the overall architecture of the robotic manipulation software platform.
Transform existing project-specific software into a reusable and configurable software product.
Establish software architecture standards, coding guidelines, and development frameworks.
Drive the modularization and standardization of software components for global deployment.
Design scalable software infrastructure that supports multiple factories, part families, and robotic cells.
Architect end-to-end robotic manipulation pipelines, including vision processing, object segmentation, 6D pose estimation, grasp planning, motion planning, and robot execution.
Design scalable MLOps infrastructure and architect AI model deployment workflows, including data management, model training, validation, deployment, and monitoring.
Develop deployment strategies for global factory rollouts.
Create software architecture documentation, standards, and best practices.
Support technology transfer to regional engineering teams.
Lead architecture reviews and technical design discussions, and evaluate emerging robotics and AI technologies.
Prepare technical reports, document program code, and develop setup manuals.

What You'll Bring

Master’s or PhD degree in Robotics, Software Engineering, Computer Engineering, or a related discipline, with more than 3 years of industry experience.
Extensive experience in software architecture or robotics software development.
Proven ability to develop scalable software platforms rather than project-specific solutions.
Experience with industrial automation systems and a strong understanding of industrial communication protocols such as OPC UA and PROFINET.
Proficiency in implementing control and communication solutions using C#, SQL, REST APIs, and MQTT.
Ability to program industrial robotic manipulators using C/C++ and Python.
Strong knowledge of robotic bin-picking systems and related AI solutions, including pose estimation, synthetic data generation, reinforcement learning, and imitation learning.
Experience with ROS 1 or ROS 2, Linux-based operating systems, ARM-based systems, and related libraries and software tools.
Patents, publications, specialist certifications, or awards in robotics and automation would be an added advantage.
Strong troubleshooting skills and a methodical approach to fault diagnosis.