Working Student / Intern Robotic Hardware and Software Engineering (m/f/d)
Solve complex robotics problems and help the first generation of autonomous farming robots to succeed.
Dahlia Robotics’ vision is to remove the need for herbicides in agriculture and make organic food production the standard.
To achieve this, we build farming robots which autonomously take care of tedious tasks like weeding. Our robots automatically recognize crops and weeds on the field through computer vision and machine learning techniques and remove the weeds through mechanical tools.
We are a multidisciplinary team with backgrounds in computer science, electrical and mechanical engineering, geoecology and UX design, heavily supported by local farmers.
Depending on your profile and interests you will support the engineering team in one of the following ways:
You design and test new mechanical parts for our robot
You validate, integrate and write drivers for sensor systems
You contribute new features to our software-stack from ideation until deployment
- Robot autonomy
- Multi-robot interaction
- Robot simulation
- Machine learning pipeline and models
- Embedded devices and hardware control
You refine our CI/CD pipeline with Docker and Gitlab-CI
You support improving network and telemetry setup on the field
You help us to set up the production line for our next generation of robots
Who you are
Enrolled master student in computer science, electrical engineering, robotics or related
Enthusiasm for mobile and intelligent robots, and (organic) agriculture
You have first practical experience with one or multiple of the following:
Linux, Git, Python, C++, ROS, Docker, PyTorch, Solidworks, PCB Design, Sensors, Electric drives, Computer Vision, Nvidia Jetson, Control theory, Server Administration
You take initiative and work proactively
Proficiency in English or German
What we offer
Opportunity to work on interesting and challenging engineering problems integrating your own ideas
Startup environment with very low hierarchies and short decision-making processes
Apply your skills in a real-world setting on autonomous machines
Flexible working hours (fully remote possible, attending field tests possible but not required)
Direct positive impact of your work on the environment
Please attach a CV, relevant references, a description of your fields of interest and available weekly working hours to your application.
We are looking forward to hearing from you!