Careers

Careers

ANavS® is hiring!

We are a team of experts for precise positioning solutions. Be part of our company with flat company structures and freedom for innovative ideas. ANavS® is located in the attractive city of Munich, Germany. The nearest underground station is only 50 m from our office, and the closest highway entrance can be reached within only 2 minutes by car. Thereby, the city center as well as the Bavarian lakes, castles and Alps can be easily reached.

If our job offerings don’t quite meet your needs, we may be able to adapt the position for you. Just ask!

Nothing for you in the following vacancy list?
No problem, we are always searching for new team members for master-thesis, working students, full-time employees.
We are looking forward to your initiative job application letter.


You can directly apply here.

Java Software Engineer (m/w/d)

Job advertisement Id FT001 online since 09/2021

You will be part of the agile hardware team and contribute to high level software components of advanced positioning systems. We employ Java in most of our systems for management and maintenance functionalities. Also, we use Java for automated testing and qualification of our sensor fusion code.

Your job will be to develop reliable, flexible and scalable code that keeps our products operational and fault tolerant in a wide range of operational scenarios. Your developments will typically be used in research for autonomous driving, maritime automation, autonomous robots, top-class sports and many more.

Your Core Tasks:

  • Development of management and configuration software for embedded positioning systems
  • Development of Continuous Integration and code quality tools
  • Hardening of implementation against security and safety threats
  • Adaptation of our systems to specific customer projects
  • Development of remote maintenance mechanisms
  • Development of IoT and cloud solutions

Core Qualifications:

These are required to get the job.

  • High motivation to become part of a great team and to gain new skills
  • Comprehensive experience in Java software development
  • Good communication skills in English and German
  • Good knowledge of Java 8+ APIs, ant, maven, multi-threaded software, networking, object orientation, software testing

Additional Welcome Qualifications:

These will make you stand out between the other job candidates.

  • Experience with other common programming languages. For example: C/C++, Python, Matlab, Bash, JS/HTML5, TypeScript
  • Experience with safety critical programming
  • Theoretical understanding and practical knowledge of cryptography
  • Deep understanding of network technologies
  • Deep understanding of linux based operating systems
  • Experience with web technologies
  • Experience with embedded systems
  • Contributions to open source projects (You’re welcome to share links to your contributions / github account)

 

Project leader for Multi-Sensor positioning systems for Automated Driving (m/w/d)

Job advertisement Id FT002 online since 01/2020

 
Your tasks:
  • Project leader at ANavS® for publicly funded projects on Multi-Sensor positioning for automated driving
  • Preparation of project documentation including deliverables for Business Plan (BP), Baseline Design Review (BDR), Critical Design Review (CDR), System and Service Architecture (SSA), System Verification Document (SVD) and Final Report (FR)
  • Preparation of monthly progress reports (MPRs)
  • Communication between ANavS® and public authorities
  • Organisation and preparation of project meeting
  • Preparation of new project proposal
Your qualifications:
  • Experience in satellite navigation and sensor fusion (ideally PhD)
  • Excellent writing skills
  • Independent working style
  • Interest in Business Development
Mobile/Web App Developer (m/w/d)

Job advertisement Id FT005 online since 01/2020

 
Your tasks:
  • Develop a web-based application for our sensor fusion platform
  • Define UI/UX designs for the application
  • Enhance the platform API together with the hardware department
  • Establish a deployment process for the new application
  • Provide a test concept for the application
Your profile:
  • Proficient understanding of web development by using established JavaScript frameworks like React, Angular or Vue
  • Good understanding of native mobile app development for iOS and Android
  • Experience with frameworks like React Native or Ionic would be beneficial
  • Experience with wireless technologies (TCP/IP communication)
  • Good feeling for design and user experience
  • Own projects to show your experience
  • Good communication skills in English and German
  • Team player with quick perception, reliability and accuracy
PCB-Designer (m/w/d)

Job advertisement Id FT006 online since 11/2020

Werde Mitglied im Team für Embedded Positioning Systems! Wir entwickeln hochmoderne Sensorlösungen für Anwendungen in den Bereichen Automotive und Robotik.

Deine Kernaufgaben:

  • Schaltungs- und Leiterplattenentwicklung
  • Schaltungssimulation mit Spice
  • Aufbau und Evaluierung von Prototypen

Optionale Aufgaben:

  • Aufgaben im Bereich elektromagnetische Kompatibilität (EMC/EMV)
  • Durchführen der CE-Zertifizierungen

Wichtigste Qualifikationen:

  • Sehr guter Umgang mit PCB-Design Tools (Autodesk EAGLE, Altium Designer, OrCAD oder ähnliches)
  • Gute Englischkenntnisse (vor allem Leseverständnis)
  • Hohe Lernbereitschaft
  • Bildung im Bereich Elektronik, zum Beispiel:
    1. Ausbildung Elektroniker
    2. Techniker in Elektrotechnik
    3. Andere mit passenden Lerninhalten

Weitere Willkommene Qualifikationen:

  • Kenntnisse im Bereich eingebettete Systeme und Linux
  • Handwerkliche Fähigkeiten
  • Erfahrung mit CE und EMC-konformen Entwurf
  • Erfahrung mit Drahtlosen Kommunikationssystemen
Computer Vision Engineer - Focus on Camera Systems (m/w/d)

Job advertisement Id FT007 online since 17/06/2021

ANavS – Advanced Navigation Solutions has three lines of business: precise positioning systems, precise mapping systems and snow monitoring systems. The core of the ANavS positioning systems is a modular and flexibly configurable sensor fusion of GNSS, inertial, odometry, UWB, camera and Lidar measurements. The innovative positioning algorithms were developed and patented by ANavS and include newest RTK/ PPP and AI methods. The main products of ANavS are the Multi-Sensor RTK module, the RTCM base station, and the Integrated Sensor Platform (ISP) with 3 integrated GNSS receivers, an IMU, a wheel odometry interface, 2 cameras, a 3D Lidar, an LTE module for the reception of RTK corrections, and a processor for the sensor fusion. The ANavS products have a large range of applications including the automotive, robotics, automation, maritime, railway, aerospace, agriculture and mining industries.

You will contribute to the integration of camera sensors into the existing Multi-GNSS/INS-based sensor fusion positioning system that already achieves centimeter-level accuracy in many scenarios. To bridge challenging GNSS scenarios such as tunnels, urban canyons or trees the fusion of camera-derived pose measurements from visual odometry or SLAM is desired. Besides the primary focus on precise positioning visual sensors are used for mapping and environment detection, which includes 3D point cloud and 2D road mapping, object detection and semantic segmentation.

Aside from computer vision another increasingly relevant topic is integrity monitoring, which may be part of your tasks. This includes monitoring of sensor data, intermediate system states and final positioning outputs to provide system status information and feedback to previous modules. GNSS spoofing detection is part of integrity monitoring in that manipulation of GNSS signals violates the system integrity. Computer vision can contribute to this task by providing alternative positioning solutions.

Your responsibility will cover the whole pipeline starting from the sensor’s integration to the algorithm development and up to the interface implementation for sensor fusion. The goal is the enhancement of our products, in particular our Integrated Sensor Platform (ISP), with real-time capable algorithms on embedded NVIDIA platforms. Accompanying this technical focus, you will take care of funded as well as customer projects that intersect with your technical expertise.

You will work in a small, flexible and growing team with flat hierarchies and expertise in computer vision, deep learning, software development, sensor fusion and embedded hardware development. You contribute to exciting manifold projects, for example in the automotive industry, and work together with partners such as BMW, Continental, Intel, Schaeffler and KIT. ANavS provides free drinks, fruits and snacks, and a kicker table, and is located in Munich Laim with direct connection to U-Bahn, Bus and S-Bahn.

 
Your tasks:
  • Development of algorithms for:
    • Visual odometry and visual SLAM, to improve current positioning performance
    • 2D/3D mapping, to generate precise maps for localization
    • Semantic segmentation and object detection, for environment detection
  • Application of state-of-the-art computer vision, machine learning and deep learning techniques
  • Potentially: Development of AI-based integrity monitoring algorithms, including machine learning based spoofing detection to provide system status and feedback
  • Implementation of interfaces between the computer vision and sensor fusion framework
  • Selection, evaluation and integration of camera sensors
  • Camera calibration and time synchronization (e.g. hardware triggering)
  • Integration of additional sensors, such as IMU, wheel odometry or GNSS-based pose measurements into computer vision approaches
  • Development of real-time solutions and docker containers for our embedded platforms
  • Responsibility for funded and customer projects
  • Bringing developed solutions towards product stage
  • Close cooperation with the hardware, software and sensor fusion team
  • Patenting and publishing of developed approaches is encouraged
Your profile:
  • Preferable 2 years’ experience in computer vision and machine learning/ deep learning
  • Computer science degree (or comparable)
  • Well-founded knowledge in SLAM techniques for localization and mapping
  • Well-founded knowledge in C++, Python and deep learning frameworks, such as PyTorch and TensorFlow.
  • Practical experience in training, developing and evaluating deep neural networks for computer vision
  • Preferable experience with camera sensors, calibration, integration and time synchronization
  • Preferable experience in ROS/ROS2, CARLA or Gazebo simulators
  • High motivation to contribute to the technical development, ability to work independently and willing to adapt to flexible tasks
  • Team player with quick perception, reliability and accuracy
  • Good communication skills in English and German
Computer Vision Engineer - Focus on Lidar and Radar Systems (m/w/d)

Job advertisement Id FT008 online since 17/06/2021

ANavS – Advanced Navigation Solutions has three lines of business: precise positioning systems, precise mapping systems and snow monitoring systems. The core of the ANavS positioning systems is a modular and flexibly configurable sensor fusion of GNSS, inertial, odometry, UWB, camera and Lidar measurements. The innovative positioning algorithms were developed and patented by ANavS and include newest RTK/ PPP and AI methods. The main products of ANavS are the Multi-Sensor RTK module, the RTCM base station, and the Integrated Sensor Platform (ISP) with 3 integrated GNSS receivers, an IMU, a wheel odometry interface, 2 cameras, a 3D Lidar, an LTE module for the reception of RTK corrections, and a processor for the sensor fusion. The ANavS products have a large range of applications including the automotive, robotics, automation, maritime, railway, aerospace, agriculture and mining industries.

You will contribute to the integration of Lidar and Radar sensors into the existing Multi-GNSS/INS-based sensor fusion positioning system that already achieves centimeter-level accuracy in many scenarios. To bridge challenging GNSS scenarios such as tunnels, urban canyons or trees the fusion of Lidar/Radar-derived pose measurements from Lidar/Radar odometry or SLAM is desired. Besides the primary focus on precise positioning visual sensors are used for mapping and environment detection, which includes 3D point cloud and 2D road mapping, object detection and semantic segmentation.

Aside from computer vision another increasingly relevant topic is integrity monitoring, which may be part of your tasks. This includes monitoring of sensor data, intermediate system states and final positioning outputs to provide system status information and feedback to previous modules. GNSS spoofing detection is part of integrity monitoring in that manipulation of GNSS signals violates the system integrity. Computer vision can contribute to this task by providing alternative positioning solutions.

Your responsibility will cover the whole pipeline starting from the sensor’s integration to the algorithm development and up to the interface implementation for sensor fusion. The goal is the enhancement of our products, in particular our Integrated Sensor Platform (ISP), with real-time capable algorithms on embedded NVIDIA platforms. Accompanying this technical focus, you will take care of funded as well as customer projects that intersect with your technical expertise.

You will work in a small, flexible and growing team with flat hierarchies and expertise in computer vision, deep learning, software development, sensor fusion and embedded hardware development. You contribute to exciting manifold projects, for example in the automotive industry, and work together with partners such as BMW, Continental, Intel, Schaeffler and KIT. ANavS provides free drinks, fruits and snacks, and a kicker table, and is located in Munich Laim with direct connection to U-Bahn, Bus and S-Bahn.

 

Your tasks:
  • Development of algorithms for:
    • Lidar/Radar odometry and SLAM, to improve current positioning performance
    • 2D/3D mapping, to generate precise maps for localization
    • Semantic segmentation and object detection, for environment detection
  • Application of state-of-the-art computer vision, machine learning and deep learning techniques
  • Potentially: Development of AI-based integrity monitoring algorithms, including machine learning based spoofing detection to provide system status and feedback
  • Implementation of interfaces between the computer vision and sensor fusion framework
  • Selection, evaluation and integration of Lidar and Radar sensors
  • Lidar/Radar sensor calibration and time synchronization (e.g. hardware triggering)
  • Integration of additional sensors, such as IMU, wheel odometry or GNSS-based pose measurements into computer vision approaches
  • Development of real-time solutions and docker containers for our embedded platforms
  • Responsibility for funded and customer projects
  • Bringing developed solutions towards product stage
  • Close cooperation with the hardware, software and sensor fusion team
  • Patenting and publishing of developed approaches is encouraged
Your profile:
  • Preferable 2 years’ experience in computer vision and machine learning/ deep learning
  • Computer science degree (or comparable)
  • Well-founded knowledge in SLAM techniques for localization and mapping
  • Well-founded knowledge in C++, Python and deep learning frameworks, such as PyTorch and TensorFlow.
  • Practical experience in training, developing and evaluating deep neural networks for computer vision
  • Preferable experience with Lidar/Radar sensors, calibration, integration and time synchronization
  • Preferable experience in ROS/ROS2, CARLA or Gazebo simulators
  • High motivation to contribute to the technical development, ability to work independently and willing to adapt to flexible tasks
  • Team player with quick perception, reliability and accuracy
  • Good communication skills in English and German
Improving navigation solutions with Lidar/Camera sensors (m/w/d)

Job advertisement Id MA001 online since 01/2020

 
Your tasks:
  • Integration of LiDAR-Odometrie measurements into the overall ANavS® sensor fusion
  • Improvement of existing algorithms to create maps (online and offline)
  • Captering datasets in different environments
  • Evaluation of datasets depending on performance with different sensor setups additional to the Lidar sensor
Your qualifications:
  • Very good knowledge in Matlab
  • Experience in advanced signal processing techniques
  • Independent working and fast familiarization with new topics
Cloud development for Precise Positioning of Automated Robots and Vehicles (m/w/d)

Job advertisement Id MA002 online since 01/2020

Development of an embedded sensor system for automotive and robotic applications with focus on cloud infrastructure and remote maintenance aspects.

 

Your Core Tasks:
  • Development of web infrastructure to support product life-cycle
  • Development of Cloud based smart update / configuration management
  • Development of Device fleet health monitoring
  • Hardening of implementation against security and safety threats
Optional Tasks:
  • Driver, Firmware and further software development
  • Design, Implementation and Administration of web-based development tools
  • Development of web-apps
Core Qualifications:
  • Substantiated software development skills (Java)
  • Substantiated knowledge of web / database / networking / cloud technology
  • High motivation to gain new skills
Additional Welcome Qualifications:
  • Further programming skills (HTML5, C++, PHP)
  • Training as Computer Scientist
  • Theoretical understanding and practical familiarity with cryptography
  • Deep Knowledge of Linux
  • Experience with cyber security
  • Experience with Embedded Systems and electronics
Career as Software Engineer (m/w/d)

Job advertisement Id WS002 online since 01/2020

Development of an embedded sensor system 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
Mobile/Web App Developer (m/w/d)

Job advertisement Id WS003 online since 01/2020

 
Your tasks:
  • Develop a web-based application for our sensor fusion platform
  • Define UI/UX designs for the application
  • Enhance the platform API together with the hardware department
  • Establish a deployment process for the new application
  • Provide a test concept for the application
Your profile:
  • Proficient understanding of web development by using established JavaScript frameworks like React, Angular or Vue
  • Good understanding of native mobile app development for iOS and Android
  • Experience with frameworks like React Native or Ionic would be beneficial
  • Experience with wireless technologies (TCP/IP communication)
  • Good feeling for design and user experience
  • Own projects to show your experience
  • Good communication skills in English and German
  • Team player with quick perception, reliability and accuracy

Something sounds interesting to you?
We are looking forward to your application letter.
Go to application form