Senior System Engineer (m­­/­­f­­/­­x)

We are looking for individuals with unique personalities who can Identify with a progressive company. - From a young age, you have passionately worked on ideas and projects that were incomprehensible to your peers - You are known for your pronounced intelligence and/or possess extraordinary abilities such as an eidetic memory - You have the talent to develop complex systems in very short time, which would normally require an entire team - You have contributed to the development of groundbreaking technologies - You have already created tools that have significantly optimized your work processes - You are curious and strive to understand the fundamental principles that hold our world together - You have the ability to quickly and effectively familiarize yourself with new, groundbreaking technologies - Flexible prioritization - You are able to respond quickly to changing priorities - Your goal is to be actively and leadingly involved in highly demanding development processes, rather than pursuing a career in pure management It is not expected that you will be fully familiar with the entire tech stack from day one. However, solid and application-related experience with certain key technologies is of great importance. - You hold a Masters degree in Software Development, Computer Science, Physics, or a related field - Expert in at least one of the following areas: - Distributed systems - Embedded systems - Robotics - Computer networks - Databases - Cryptography - Computer graphics - Signal processing (https://www.tf.uni-freiburg.de/en/study-programs/embedded-systems-engineering/m-sc-embedded-systems-engineering) - Experienced with distributed/embedded systems - Knowledgeable in robotics - Proficient in backend development, especially with Rust or C++ (alternatively with Python, Java, or Go) - Experienced in working with fullstack technologies (REST, GraphQL, gRPC) - You understand the importance of security in data exchange within untrustworthy networks - Practical experience in the field of Machine Learning is desirable - Familiar with container-based and cloud-native application architectures (Docker, Azure, AWS) - You place great value on effective team dynamics and significantly contribute to improving code quality through active participation in code reviews and pair programming - You speak fluent English