We are seeking an experienced Research Scientist to lead the optimization, deployment, and enhancement of a fleet of robotic systems in Manufacture/production environments .
The ideal candidate will have strong expertise in the following, or closely related areas:
1) Software for manufacturing planning, e.g., flexible shop floor scheduling,
2) flexible manufacturing systems, e.g., robotic handling and transport or
3) automated logistics, particularly multi-agent path finding. The ideal candidate will posses both algorithmic and software engineering experience.
Therefore, we are seeking a candidate who is passionate about job scheduling, multi-agent task allocation, and path planning, with a proven track record of designing and implementing innovative products and features.
This is a hands-on role requiring deep and broad knowledge of software development tools and advanced algorithm development.
Key Responsibilities:
• Design and implement highly reliable, embedded multi-agent task allocation and scheduling algorithms, and validate designs through both simulation and real-world testing.
• Contribute to system architecture decisions that shape the future of Bosch’s multi-agent dynamic orchestration system.
• Collaborate with cross-functional teams—including perception, hardware, and software experts—to deliver intelligent, integrated systems and solutions.
• Travel as required to support on-site system testing.
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