AI & Machine Learning Engineer – Sensor Fusion & Situational Awareness - 2279
Rheso.Embedded
| Company | Rheso.Embedded |
| Category | Engineering |
| Location | Munich |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| First seen | 2 Aug 2026 (the employer did not state a posting date) |
| Last verified | 10 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
AI & Machine Learning Engineer – Sensor Fusion & Situational Awareness M/F
• Contract type: Permanent
• Location: Greater Munich (Hybrid)
• Ref: 2279
• Contact: [email protected]
The recruiting company:
Our client is a European start-up specializing in electronic warfare, secure communications, and precision localization technologies for the defense sector.
Key points of the position:
Reporting to the engineering team, you will develop advanced AI and machine learning algorithms that transform complex sensor data into reliable situational awareness for defense operations.
As an AI & Machine Learning Engineer, your missions will include:
• Processing and analyzing large volumes of real-world sensor data collected in operational environments,
• Designing, training, and optimizing machine learning models to classify signals and interpret complex, noisy data streams,
• Developing advanced sensor fusion algorithms combining machine learning techniques with classical state estimation methods such as Kalman filters,
• Translating ML prototypes into efficient algorithms deployable on embedded systems, in collaboration with embedded software teams,
• Optimizing and quantizing ML models to run on resource-constrained edge hardware,
• Developing predictive models capable of anticipating environmental changes and entity movements,
• Validating and improving algorithms using simulation environments and real-world data from field tests.
Necessary skills:
• You must have a degree in Computer Science, Machine Learning, Robotics, Physics, or a related field,
• You have proven experience in applied machine learning and sensor data processing,
• You have strong experience with modern ML frameworks such as PyTorch or TensorFlow,
• You possess solid programming skills in Python and good proficiency in C++ for algorithm deployment on embedded systems,
• You have a strong understanding of sensor fusion, tracking, and localization concepts,
• You are comfortable working with imperfect real-world datasets and extracting meaningful insights from noisy inputs,
• Fluent English is required and German is strongly appreciated.
Eligibility for German security clearance (SÜ2/Ü2) is required : German or EU citizenchip is mandatory
Salary : 65–105k euros gross annual.
RHESO.TECH, a specialized recruitment agency
https://www.rheso.tech/
Keywords: machine learning, artificial intelligence, sensor fusion, situational awareness, edge AI, PyTorch, TensorFlow, C++, Python, Kalman filter, data processing, embedded AI, defense technology, Germany