Algorithm Engineer - Radar Tracking (m/f/d)
Smart Microwave Sensors GmbH2 months ago
Braunschweig, GermanySenior
Responsibilities
- Develop tracking and sensor-fusion algorithms for radar, camera, and radar/camera hybrid sensor systems.
- Implement and validate multi-object tracking, sensor fusion, statistical signal processing, and nonlinear state-estimation methods.
- Develop advanced tracking approaches including extended-object tracking, Bernoulli filters, Kalman filters, Bayesian filtering, and probabilistic data association.
- Analyze real radar and camera data and evaluate algorithm performance in traffic, mobility, automotive, and airborne scenarios.
- Convert algorithmic concepts, prototypes, and proof-of-concepts into robust, maintainable, and testable production software.
- Improve algorithm robustness, accuracy, runtime behavior, and reliability under challenging real-world conditions.
- Define test cases, metrics, and validation methods for detection, tracking, fusion, and object-level perception quality.
- Collaborate with embedded software, systems engineering, testing, and product teams to integrate algorithms into sensor platforms.
- Contribute to safety-critical radar applications including intelligent traffic infrastructure, ADAS, automated driving, drone detection, UAV/UAS tracking, and airborne radar.
Requirements
- Master’s degree in Electrical Engineering, Computer Science, Robotics, Mathematics, or a comparable technical field.
- Some years of full-time professional experience in industrial or commercial algorithm or software development after graduation; internships, thesis work, student jobs, and purely university-based projects do not count.
- Practical experience with 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++, including the ability to write structured, maintainable, and testable code.
- Strong foundation in linear algebra, statistics, probability theory, estimation theory, and filtering methods.
- Experience with radar or 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 advantageous.
- Knowledge of Kalman filters, EKF, UKF, particle filters, JPDA, MHT, Bernoulli filters, PHD filters, or extended-object tracking is beneficial.
- Ability to analyze complex technical problems independently and turn findings into reliable software solutions.
- Clear English communication skills; German language skills are advantageous.
Benefits
- Permanent employment with individual training opportunities.
- Hybrid working arrangement with four days of office presence per week.
- Modern buildings, offices, laboratories, and high-quality work and test equipment.
- Informal culture, motivated teams, short communication channels, and opportunities for active participation.
- Accessible location with a nearby highway and direct bus stop, plus car and bicycle parking.
- Free electric-vehicle charging.
- Team events, gym membership, and additional benefits.
About Smart Microwave Sensors GmbH
Smart Microwave Sensors GmbH (smartmicro) designs and manufactures radar sensors and systems for automotive ADAS/autonomous driving and traffic management. Founded in 1997 and headquartered in Braunschweig, Germany, it offers 4D imaging automotive radars (DRVEGRD) and multi-lane traffic radars (TRUGRD, TOPGRD) used by vehicle OEMs/Tier‑1 suppliers and city operators worldwide. Its business model centers on selling hardware with embedded software, integration tools, and support for deployment in vehicles and smart city networks.