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Job Description
As a Development Scientist, you will be a key resource in a team focused on pioneering, leading, and translating cutting-edge research into next-generation software robotics solutions for industrial applications, based on the open-source Robot Operating System (ROS) framework. Working closely with or leading engineers, you will drive initiatives in areas such as AI for robotics applications, advanced multi-robot coordination, and path planning.
Roles and Responsibilities:
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Pioneer and lead research or translation of research into industrial robotics applications, focusing on AI for robotics, advanced multi-robot coordination, or path planning, working closely with or leading engineering teams.
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Research, develop, extend, and apply advanced robotics software and algorithms leveraging frameworks like ROS, with a focus on areas such as AI models, machine learning, multi-agent systems, and simulation, collaborating with engineers on implementation and testing.
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Architect and collaborate with engineers to develop proof-of-concept software solutions and demonstrators based on research outcomes using languages like C++ and Python and libraries such as ROS.
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Drive application-oriented robotic research towards industrial automation.
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Implement systems engineering approaches to translate research concepts into system requirements and validation methodologies, working with engineers to ensure practical implementation.
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Develop technical write-ups, publications, and presentations to disseminate research findings and translation outcomes.
Job Requirements
Qualification & field of study: PhD degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science.
Essential Skills & Experience:
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Strong proficiency in C++ and Python programming.
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Experience with ROS and its ecosystem (ROS/ROS2).
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Knowledge of robotics concepts including manipulation, navigation, fleet management, and simulation.
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Proven experience in AI/Machine Learning applied to robotics, advanced multi-robot coordination, or path planning.
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Demonstrated ability to pioneer research or translate research findings into practical software prototypes or applications.
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Understanding of the Software Development Lifecycle (SDLC) and proficiency with Git version control.
Desired Skills & Experience:
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Experience with CI/CD and containerization (e.g., Docker, Kubernetes).
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Experience with software systems integration, architecture, communication protocols, and networked systems.
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Experience managing research projects or leading technical initiatives.
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Experience working with industry partners and presenting technical work.
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Business acumen related to industrial robotics applications.
Interview Expectation: Candidates should be prepared to present their approach to pioneering research or translating research into industrial robotics applications, focusing on AI for robotics, advanced multi-robot coordination, or path planning, or propose an alternative research translation initiative.
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