Careers

Job advertisement Id WS005 online since 06/2026

ANavS – Advanced Navigation Solutions develops precise positioning systems, mapping systems and sensor-fusion solutions for applications in automotive, robotics, defense, railway, maritime, aerospace, agriculture and mining. Our technology combines GNSS, inertial sensors, odometry, UWB, camera and LiDAR measurements with innovative RTK/PPP algorithms and AI methods.

We are a young, growing team of experts based in Munich. With flat company structures, freedom for innovative ideas and exciting high-tech products “Made in Germany”, we offer you the opportunity to gain hands-on marketing experience in a technically ambitious B2B environment. Our office is located in Munich with very good transport connections.

To support our marketing and sales activities, we are currently looking for a motivated and creative Working Student Marketing (m/f/d).

Your Tasks

You will support our team in communicating complex high-tech products in a clear, attractive and target-group-oriented way.

Your core tasks include:

• Creation and maintenance of marketing content for website, LinkedIn, newsletters, flyers and presentations
• Support in preparing product communication for ANavS solutions such as A-ROX, AI-ROX, G-ROX, embedded GNSS modules and customized engineering services
• Editing and visual preparation of technical content in close cooperation with product management, sales and engineering
• Support in planning and preparing trade fairs, events and customer presentations
• Research on markets, competitors, customers and relevant industry trends
• Maintenance and further development of marketing materials according to the ANavS corporate design
• Support in employer branding and recruiting communication
• Optional: creation of short video, image or social media content for technical B2B audiences

Your Qualifications

Core qualifications:

• Enrolled student in marketing, communication, media, business administration, technical communication, industrial engineering or a comparable field
• Interest in high-tech products, B2B marketing and innovative technologies
• Very good written communication skills in German and English
• Structured, reliable and independent way of working
• Creativity, attention to detail and willingness to quickly understand technical topics

Additional welcome qualifications:

• First experience with LinkedIn, WordPress, Canva, Adobe Creative Cloud or similar tools
• Basic understanding of SEO, content marketing or email marketing
• Experience in creating presentations, flyers, social media posts or short videos
• Interest in navigation, robotics, autonomous systems, automotive testing or sensor technologies

What We Offer

• Insights into marketing for innovative high-tech products in an international B2B environment
• A varied role with real responsibility and room for your own ideas
• Close cooperation with engineering, product management and sales
• Flexible working hours that can be combined with your studies
• A young, motivated and growing team with flat hierarchies
• An attractive workplace in Munich
• The opportunity to contribute to technologies used in autonomous driving, defense, railway, maritime and other future-oriented industries

Job advertisement Id MA003 online since 06/2026

The ANavS real-time positioning system provides centimeter-accurate position information and is based on a sensor fusion of satellite signals (GNSS signals) and inertial measurements from an inertial measurement unit (IMU). In addition vehicle wheel data, barometer and range measurements can be integrated to improve the performance. Camera, Lidar and radar sensors on the one hand can be used to improve and robustify the localization performance too, for example in GNSS-denied areas, such as tunnels, and on the other hand enable the detection of the environment, which includes map creation and object detection.

Another important component to improve the safety of the positioning system is integrity monitoring, which makes sure that all sensor fusion data, such as sensor raw data or navigation solutions, are valid and consistent. This component may profit from camera, Lidar and radar sensor information as well, for example using cross-checks with other sensor or solution data. Scenarios range from simple sensor data malfunctioning to complex GNSS spoofing attacks – attacks in which satellite signals are manipulated to yield a wrong position information.

Your tasks:

• Your topic will focus on one of the sensors camera, Lidar or radar with a focus on either object detection or localization and mapping depending on your background, interests and skills and our current priorities. Integrity monitoring is another possible thesis direction, which does not primarily focus on object detection or localization and mapping.

Your profile:

• Master student in computer science, robotics, or related areas
• Experience in computer vision, visual navigation, and preferably satellite-based navigation
• Very good programming skills in C++ and Python and experience in software development
• Very good analytical and debugging skills
• Experience with deep learning and machine learning techniques and frameworks, such as PyTorch or Tensorflow
• Theoretical knowledge and practical experience in Simultaneous Localization and Mapping (SLAM), or object detection methods would be ideal.
• Experience with camera, Lidar or radar sensors would be ideal.
• Strong motivation and ability to work independently
• Team player
• Good communication skills in English and preferably in German too

Job advertisement Id WS002 online since 06/2026

Support of the development of our embedded sensor systems for automotive and robotic applications with focus on architectural and functional software aspects.

Your Core Tasks:

• Development of self-test and failsafe mechanisms
• Hardening of implementation against security and safety threats
• Comissioning of operating system (Linux based) for novel embedded systems
• Work on boot process and tight Linux integration in custom hardware

Optional Tasks:

• Driver, Firmware and further software development
• Adaption of our systems to specific customer projects
• Development of remote maintenance mechanisms

Core Qualifications:

• Substantiated programming skills (C/C++)
• Substantiated knowledge of operating systems (focus on Linux)
• High motivation to gain new skills

Additional Welcome Qualifications:

• Experience as software developer (C/C++ or Java)
• Training as Computer Scientist or Electrical Engineer
• Experience with kernel module development
• Experience with good coding practices and design pattern
• Familiarity with web / networking technology
• Theoretical understanding and practical knowledge of cryptography

Job advertisement Id WS004 online since 06/2026

You will support our Computer Vision team in current tasks involving localization, mapping and object detection with camera, Lidar or radar data.

The general focus is on improving and enhancing the current GNSS/inertial-based positioning system, for example in case of degraded or missing satellite signals, or to add environment detection capabilities by map creation or object detection using camera, Lidar or radar sensors.

Your task may include all parts of the pipeline, starting at sensor evaluation, integration and calibration, collection or post-processing of datasets, development support for the data acquisition system, including the embedded processing platform (NVIDIA Jetson NX Dev. Kit) and docker containers (Linux-based) for example, evaluation of publicly available algorithms (e.g. Visual or Lidar SLAM), algorithm implementation, implementation of interfaces or tools in Python or C++. Other potential topics are related to integrity monitoring for sensor fusion or sensor fusion related implementation tasks. AI, machine learning and deep learning approaches are basis for several tasks, implementations are usually based on PyTorch or Tensorflow. Your task will be related to our product development or funded projects.

Your tasks:

• Will be defined together with you depending on your background, interests and skills and our current priorities.

Your profile:

• Student in computer science, robotics, or related areas
• Experience in computer vision, visual navigation, and preferably satellite-based navigation
• Very good programming skills in C++ and Python and experience in software development
• Very good analytical and debugging skills
• Experience with deep learning and machine learning techniques and frameworks, such as PyTorch or Tensorflow
• Theoretical knowledge and practical experience in Simultaneous Localization and Mapping (SLAM), or object detection methods would be ideal.
• Experience with camera, Lidar or radar sensors would be ideal.
• Strong motivation and ability to work independently
• Team player
• Good communication skills in English and preferably in German too