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

About This Opportunity

Our talent team is representing a confidential automotive sensor technology organization based in Braunschweig, Germany. We are seeking an experienced Algorithm Engineer to develop radar tracking and sensor fusion solutions for advanced mobility applications.

This is a full-time, permanent position working on-site in Braunschweig with hybrid flexibility (4 days office presence per week).

Responsibilities

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

• Develop, implement and validate algorithms for multi-object tracking, sensor fusion and statistical signal processing
• Work on advanced tracking approaches including extended object tracking, Bernoulli filters, Kalman filters, Bayesian filtering, probabilistic data association and related estimation methods
• Analyze algorithm performance using real radar, camera and radar/camera fusion data in realistic traffic, mobility and airborne scenarios
• Transform algorithmic concepts, prototypes and proof-of-concepts into robust, maintainable and testable software for product development and customer projects
• Improve robustness, accuracy, runtime behavior and reliability of tracking and fusion algorithms under challenging real-world conditions
• Define and use suitable test cases, metrics and validation methods to evaluate detection, tracking, fusion and object-level perception quality
• Collaborate closely with embedded software, system engineering, testing and product teams to ensure reliable integration into sensor platforms
• Contribute to safety-critical and high-performance radar applications across intelligent traffic infrastructure, ADAS, automated driving, drone detection, UAV/UAS tracking and airborne radar systems

What We're Looking For

Our client requires an engineer with proven professional experience in algorithm development, not only an academic background.

• Master's degree in Electrical Engineering, Computer Science, Robotics, Mathematics or comparable technical field
• Several 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)
• Practical experience with at least one of the following: multi-object tracking, sensor fusion, radar tracking, object-level fusion, nonlinear state estimation, statistical signal processing, perception algorithms or probabilistic methods
• Strong programming skills in Python and C or C++ with ability to write structured, maintainable and testable code
• Solid mathematical foundation in linear algebra, statistics, probability theory, estimation theory and filtering methods
• Clear communication skills in English; German language skills are advantageous
• Structured, delivery-oriented work style with ability to balance technical quality with project constraints
• Ability to analyze complex technical problems independently and convert findings into reliable software solutions

Strong advantages include:

• 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
• Knowledge of tracking methods such as Kalman filters, EKF, UKF, particle filters, JPDA, MHT, Bernoulli filters, PHD filters or extended object tracking

How We Work With You

When you apply through Get A Job.ai, a dedicated recruiter from our team will review your profile and conduct an initial screening conversation. If there's a strong match, we will submit your profile to our client for consideration. Please do not contact the client directly, as all applications must come through our recruiting process to be considered.

Pay

Compensation will be discussed during the screening process based on your experience and qualifications.

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