We’re looking for a hands-on Sensor Intern to help us solve real-world tracking and counting problems in industrial environments. You’ll evaluate sensors, build test beds, collect data, and develop working prototypes that can later be deployed in factories. This role sits at the intersection of hardware, software, industrial engineering, and automation.
This is a 6-month, full-time internship where you will have true technical ownership, with a strong opportunity to transition into a full-time for the right candidate.
Your role
Explore and test hardware in our Berlin office, set up test beds, and evaluate sensors (IoT, industrial, optical, etc.) from various suppliers
Deeply understand current tracking and counting limitations, brainstorm ideas, and propose creative hardware/sensor-based solutions
Use Python or/and C to interface with sensors, collect data, and build functional prototypes
Validate whether a sensor setup actually works in a simulated production environment to complement our existing tech stack
Collaborate closely with our engineers to work on hardware prototypes and sensor data
You are
Currently pursuing a degree in a relevant field (Mechatronics, Electrical Engineering, Industrial Engineering, Mechanical Engineering, Physics, or similar)
You have previous experience with embedded devices, IoT, or industrial sensors
Interested in how physical sensor data (like time-of-flight, radar, or infrared) can blend with software approaches to solve complex tracking problems
Able to look at a physical bottleneck, understand the root cause, and systematically test hardware to fix it
You have strong prototyping and programming skills in Python or/and C
You possess high motivation, love figuring things out on your own, and can push a project forward without needing constant hand-holding
#LI-Onsite
Nice to have
A background or basic understanding of computer vision
What you’ll learn
You’ll get hands-on experience with industrial sensing, embedded prototyping, computer vision-adjacent tracking problems, real-world manufacturing constraints, and startup-style product development.
Why this role matters
Software handles our analytics, but physical environments need dedicated hardware for quality data. You’ll evaluate sensors and build prototypes that complement our software stack, directly improving shop-floor tracking accuracy and speeding up production.
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360° feedback, and flexible working hours
Ethics⚖: We are committed to developing ethical AI software
Don't meet all the requirements?
Deltia is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.
*Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.
Skills Required
- Currently pursuing a degree in Mechatronics, Electrical, Industrial, Mechanical Engineering, Physics, or similar
- Previous experience with embedded devices, IoT, or industrial sensors
- Prototyping and programming skills in Python and/or C
- Experience interfacing with sensors and collecting sensor data
- Ability to set up test beds and validate sensor setups in simulated production environments
- Ability to analyze physical bottlenecks and systematically test hardware solutions
- High motivation and ability to work independently and push projects forward
- Background or basic understanding of computer vision
What We Do
AI-based process analytics platform to increase productivity and quality in manual shop-floor processes. Processes are captured using computer vision and automatically analysed with a highly flexible AI to identify improvement potential. 1. Real-time capture with cameras Cameras are installed at individual assembly stations capturing live video streams of assembly or packaging tasks. 2. AI tracks material & work steps Video streams are continuously analyzed to detect workpiece movements, cycle times, and work step sequencing. 3. Aggregation for data analysis Process data is aggregated per article and production to provide insights on process performance. Video snippets allow for a comprehensive root-cause analysis. 4. Data-driven improvements Your factory managers and process engineers define, implement and measure process improvements to increase productivity and quality in your assembly line.
