Lead R&D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.

Work with industry-standard hardware platforms (e.g., ROS-compatible robots, specific sensor suites) to develop and deploy robotic manipulators for real world testing. 

Develop and implement models for hybrid dynamical systems exhibiting both continuous and discrete dynamic behaviors, specifically in robotic manipulators.

Design advanced planning algorithms to optimize manipulation tasks such as pick-and-place operations.

Experience with supervised learning, unsupervised learning, and reinforcement learning techniques to improve manipulation performance in robots.

Previously trained RL models in both simulated and real-world environments with continuous action and state spaces.

Design and develop middleware and software solutions tailored for robotic manipulation applications.

Optimize software architecture for efficient communication between sensors, processors, and actuators in robotic manipulators.

Develop perception algorithms for object pose estimation, matching, and instance segmentation to aid in manipulation tasks.

Utilize deep learning techniques for end-to-end and self-supervised grasping, enhancing the robot's autonomous manipulation capabilities.

Experience with integration between hardware components, including tactile sensors, force sensors, vision systems (e.g., RGB-D cameras), and depth sensors to optimize communication protocols and data flow for efficient robotic operations.

Master’s or Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field, with a strong emphasis on robotics.

Minimum of 1-2 years of experience in robotics research or development.

Proven experience in modeling, planning, and controlling hybrid dynamical systems for robotic manipulation.

Hands-on experience with machine learning techniques applied to robotic manipulation tasks.

Experience with robotic perception technologies and deep learning frameworks as applied to manipulation.

Strong programming skills in C++, Python, and familiarity with ROS (Robot Operating System).

Experience with simulation tools such as Nvidia Isaac SIM, Gazebo, V-REP, CUDA for robotic manipulation.

Proficiency with machine learning libraries like TensorFlow or PyTorch.

Fluency in English is mandatory.

A competitive salary & stock options

A Brand new office situated on the AI Campus in Berlin where we closely cooperate with other exciting AI ventures - this role will require a hybrid setup, with a combination of working remotely and on campus

Hardware allowance. We give you support to have all the equipment you would need to thrive on your job

International Team: Within our current team we have more than 10 nationalities and counting      

Engaging Topics and Excellence: Deltia offers unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs

Be on the forefront in defining what artificial intelligence means in manufacturing

Ethics: We are committed to developing ethical AI software

Dynamic working culture: We hold weekly and monthly events around AI Innovation and Implementation. We have a very flat hierarchy, open 360° feedback, and flexible working hours