Algorithm Engineer - Perception / Sensor Fusion (m/f/d)

Responsibilities

• You work with real radar, camera and radar/camera fusion data and improve algorithm performance in realistic traffic, mobility and airborne scenarios
• You translate prototypes, research ideas and proof-of-concepts into robust, maintainable and testable software for product development and customer projects
• You define test cases, validation methods and performance metrics to evaluate detection, tracking, fusion, classification and mapping quality
• You analyze algorithm behavior in detail and improve robustness, accuracy, runtime performance and reliability under challenging real-world conditions
• You work on topics such as Kalman filtering, Bayesian estimation, multi-object tracking, sensor data association, object-level fusion and grid-based environment representation
• You cooperate closely with embedded software, system engineering, testing and product teams to ensure reliable integration into our sensor platforms
• You contribute to technical decisions, code reviews, documentation and continuous improvement of our perception and sensor fusion software

Your Tasks

In this role, you develop perception and sensor fusion algorithms for radar and radar/camera sensor systems used in intelligent traffic systems, smart mobility, ADAS-related applications, automated driving scenarios and airborne radar applications.

You develop, implement and validate algorithms for sensor fusion, object tracking, nonlinear state estimation, perception and/or occupancy grid mapping

Depending on the project, your work may contribute to applications such as intelligent traffic infrastructure, ADAS, automated driving, drone detection, UAV/UAS tracking, airborne radar systems and radar altimeters

Your Strengths

We are looking for an engineer with proven professional experience in algorithm development, not only an academic background.

You have completed a Master’s degree in Electrical Engineering, Computer Science, Robotics, Mathematics or a comparable technical field

You have some years of full-time professional experience in industrial or commercial algorithm/software development after graduation (Internships, thesis work, student jobs and purely university-based projects do not count toward this requirement)

You have practical experience in at least one of the following areas: sensor fusion, multi-object tracking, object detection, nonlinear state estimation, occupancy grid mapping, perception algorithms, probabilistic methods or statistical signal processing

You are confident in programming with C or C++ and Python and can write structured, maintainable and testable code

You have a solid mathematical foundation, especially in linear algebra, statistics, probability theory, estimation theory and optimization

Experience with radar systems, camera systems, automotive sensors, ADAS, automated driving, intelligent traffic systems, embedded systems, real-time applications, drone tracking, UAV/UAS applications or airborne radar is a strong advantage

You are able to analyze complex technical problems independently and turn your findings into reliable software solutions

You work in a structured, delivery-oriented way and can balance technical quality with project constraints.

You communicate clearly in English and/or German and can explain technical decisions to colleagues from different disciplines

What you can expect from us

Innovation

latest technology, innovation and rapid development cycles, excellent work- and test equipment

Pleasant working environment

informal culture, motivated teams, short communication channels, room for active participation

Future-oriented workplace

modern buildings, offices and labs, permanent employment and individual training opportunities

Attractive location

located directly next to the highway, direct bus stop at our facilities, parking facilities for cars and bikes, free charging of electric vehicles

Flexible working

hybrid working (4 days office presence per week)

Activities

team events, gym membership and more