At EQUIcon, science and programming work side by side to closely interlink the expertise of both fields. We virtualize data, automate and simulate processes, implement interfaces and graphical user interfaces, use state-of-the-art tools, create algorithms, connect data structures, optimize performance and dive deep into the complex technological processes of our clients.
What can you expect from us?
A great development team with flat hierarchies and an open culture that values learning. With us, you can grow — professionally, personally and through exciting projects that are often just as challenging as they are fascinating.
What should you bring with you?
A solid mathematical and scientific foundation and the desire to dive deep into the world of algorithms, data and systems. Career changers and problem solvers are just as welcome as creative minds who do not only read source code, but truly want to understand it.
What we offer you at EQUIcon
- Flat hierarchies and short decision-making paths
- An inspiring working environment
- Continuity and personal responsibility
- A long-term perspective
- Close collaboration with our clients
Sounds good?
We are always looking for new colleagues who have a strong foundation in mathematics, physics or computer science and already have experience in software development. Even if there is currently no open position advertised, we would be happy to receive your unsolicited application. If you believe that your talents and our interests are a good match, we should get to know each other!
Open positions
STARTING IMMEDIATELY
Full-Stack Developer (m/f/x)
... for Transportation & Logistics Software
STARTING IMMEDIATELY
Software-Developer (m/f/x)
… for the optical and semiconductor industries
Internships and thesis
We are currently not offering any internship positions or thesis topics. However, if you are interested in an internship, a school internship, or a bachelor's or master's thesis at EQUIcon, we would still be delighted to receive your unsolicited application. We will gladly assess whether a suitable topic can be developed based on our current projects and whether the necessary supervision capacity is available. We are always interested in motivated students and graduates in Computer Science, Mathematics, Physics, and related fields.