Algorithm Engineer - Radar Tracking (m/f/d)

In this role, you develop tracking and sensor fusion algorithms for radar and camera-based 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 multi-object tracking, sensor fusion and statistical signal processing
• You work on advanced tracking approaches such as extended object tracking, Bernoulli filters, Kalman filters, Bayesian filtering, probabilistic data association and related estimation methods
• You work with real radar, camera and radar/camera fusion data and analyze algorithm performance in realistic traffic, mobility and airborne scenarios
• You turn algorithmic concepts, prototypes and proof-of-concepts into robust, maintainable and testable software for product development and customer projects
• You improve robustness, accuracy, runtime behavior and reliability of tracking and fusion algorithms under challenging real-world conditions
• You define and use suitable test cases, metrics and validation methods to evaluate detection, tracking, fusion and object-level perception quality
• Depending on the project, your work may contribute to applications such as intelligent traffic infrastructure, ADAS, automated driving, drone detection, UAV/UAS tracking and airborne radar systems.
• You cooperate closely with embedded software, system engineering, testing and product teams to ensure reliable integration into our sensor platforms
• Your work contributes to safety-critical and high-performance radar applications, for example by improving traffic flow, protecting vulnerable road users and enabling robust radar-based perception in airborne use cases

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 with at least one of the following areas: multi-object tracking, sensor fusion, radar tracking, object-level fusion, nonlinear state estimation, statistical signal processing, perception algorithms or probabilistic methods
• You are confident in programming with Python and C or C++ and can write structured, maintainable and testable code
• You have a solid mathematical foundation, especially in linear algebra, statistics, probability theory, estimation theory and filtering methods
• Experience with radar systems, camera systems, automotive sensors, ADAS, automated driving, intelligent traffic systems, embedded systems, real-time applications, drone tracking, UAV/UAS applications, airborne radar or radar altimeters is a strong advantage
• Knowledge of tracking methods such as Kalman filters, EKF, UKF, particle filters, JPDA, MHT, Bernoulli filters, PHD filters or extended object tracking is beneficial
• You are able to analyze complex technical problems independently and convert 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; German language skills are an advantage

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