EMBEDDED SOFTWARE DEVELOPER & ARCHITECT FOR REAL-TIME AI IMAGE PROCESSING SYSTEMS

You develop real-time AI / ML image processing systems for airspace surveillance and drone detection, which are characterized by a very high data rate. You will continuously develop our software architecture with a focus on back-end, on the one hand to improve performance and on the other hand to meet new customer requirements. You will define and develop concepts for integration with other sensor or actuator systems to create overall mechatronic systems. You define work packages for subcontractors and approve the development services. You will work in an agile, cross-functional and international team and ensure that the requirements of internal stakeholders from R&D, sales and product management are brought down to a common denominator.

English Language Level C1 with Partial Remote You have a degree in computer science or a comparable subject. You have at least 2 years of professional experience as a software developer / architect in the field of real-time image processing with large amounts of data, preferably with reference to AI. You have very good knowledge of object-oriented software development in Python or C ++ as well as initial experience with the tools PyTorch, Docker Swarm, Portainer, Jenkins or Git. Your good knowledge of English, your independent and assertive way of working and your enthusiasm for working in a team round off your profile. Become part of a young, dynamic team in an innovative Silicon Valley startup and benefit from a high degree of creative freedom and the opportunity to actively shape its success.

The client is an international German high technology group with headquarters in Nuremberg. Our wide range of products includes different business areas in various industrial sectors. Around 17,000 employees work for the traditional company worldwide and generate 3 billion euros in annual sales. As a technology group, we see an important task in continuously improving our innovative strength, our technological competence, our product range, our market position and our capital structure - ultimately our competitiveness. To do this, it is necessary to constantly open up new business areas in order to use the existing know-how even better economically and to purposefully supplement it. Our Group Member develops modern systems for air surveillance. These protect critical infrastructure from threats from the air that arise from the improper or negligent use of drones. The company was founded at Stanford University in early 2017, is a member of the NVIDIA Inception Program and is supported by investors from Silicon Valley.