Scientist (ROS-I Embodied AI)

Long 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

• 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.
• 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.
• 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.
• Drive application-oriented robotic research towards industrial automation.
• Implement systems engineering approaches to translate research concepts into system requirements and validation methodologies, working with engineers to ensure practical implementation.
• Develop technical write-ups, publications, and presentations to disseminate research findings and translation outcomes.

Qualification & field of study: PhD degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science.

Min. years of experience: 3-5 years.

Essential Skills & Experience

• Strong proficiency in C++ and Python programming.
• Experience with ROS and its ecosystem (ROS/ROS2).
• Knowledge of robotics concepts including manipulation, navigation, fleet management, and simulation.
• Proven experience in AI/Machine Learning applied to robotics, advanced multi-robot coordination, or path planning.
• Demonstrated ability to pioneer research or translate research findings into practical software prototypes or applications.
• Understanding of the Software Development Lifecycle (SDLC) and proficiency with Git version control.

Desired Skills & Experience

• Experience with CI/CD and containerization (e.g., Docker, Kubernetes).
• Experience with software systems integration, architecture, communication protocols, and networked systems.
• Experience managing research projects or leading technical initiatives.
• Experience working with industry partners and presenting technical work.
• 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.