Flink Robotics

HQ
Zürich, Zürich, CHE
16 Total Employees
Year Founded: 2023

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Jobs at Flink Robotics
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13 Days AgoSaved
In-Office
Zürich, CHE
Hardware • Robotics • Manufacturing
The Growth Associate intern will support strategic go-to-market efforts, interview customers, and aid the founding team in product development and logistics center deployment.
19 Days AgoSaved
In-Office
Zürich, CHE
Hardware • Robotics • Manufacturing
Join Flink Robotics as a Software Engineer to work on computer vision systems for logistics robots, enhancing real-world smart capabilities and improving robot autonomy.
19 Days AgoSaved
In-Office
Zürich, CHE
Hardware • Robotics • Manufacturing
Lead the design and development of computer vision and robot autonomy stacks for robotic systems, overseeing AI/ML algorithms and leading a team of engineers.
19 Days AgoSaved
In-Office
Zürich, CHE
Hardware • Robotics • Manufacturing
This internship involves applying computer vision, machine learning, and numerical optimization techniques within a robotics startup, focusing on coding and problem-solving.
19 Days AgoSaved
In-Office
Zürich, CHE
Hardware • Robotics • Manufacturing
As a Hardware/Robotics Engineer Intern, you'll deploy automation solutions, support product testing, and assist in hardware design and assembly for robotic systems.
19 Days AgoSaved
In-Office
Zürich, CHE
Hardware • Robotics • Manufacturing
Lead the deployment of robotic systems across Europe, ensuring smooth installations and customer satisfaction while managing and mentoring deployment teams.
19 Days AgoSaved
In-Office
Zürich, CHE
Hardware • Robotics • Manufacturing
This opportunity is for ETH Zurich Computer Science Master Students to work on industry-focused master thesis projects in collaboration with the Computational Robotics Lab.
19 Days AgoSaved
In-Office
Zürich, CHE
Hardware • Robotics • Manufacturing
Submit a speculative application with your CV and a cover letter to express your interest in joining Flink's team.
Hardware • Robotics • Manufacturing
Join the motion planning and control team to build ML-enhanced motion-planning systems for robotic material handling. Responsibilities include shipping learning-based controllers, delivering motion-validation pipelines, and maintaining C++ libraries.