Vision Based Localization Specialist

Posted 2 Days Ago
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Munich, Bavaria
Mid level
Aerospace
The Role
The Vision Based Localization Specialist will develop and optimize visual inertial navigation algorithms for drones using visual inertial localization and SLAM techniques. The role involves implementing and testing navigation algorithms, ensuring integration with drone systems, selecting appropriate sensors, and collaborating with other experts to enhance navigation capabilities.
Summary Generated by Built In

We are seeking a highly skilled and experienced Specialist for vision based navigation systems with a proven track record of implementing and deploying vision based navigation systems on robotics systems such as UAS in real-life scenarios. The ideal candidate will have hands-on experience in open-source visual inertial-based localization, visual SLAM (Simultaneous Localization and Mapping), and expertise in the underlying optimization frameworks. You will play a pivotal role in developing and implementing state-of-the-art visual inertial navigation algorithms and techniques, enabling drones to navigate autonomously and accurately in a variety of real-world applications. This is a hands-on position, where we expect you to deploy vision based navigation algorithms on UAS, that are actively deployed with customers, in short iterations in order to create a robust and reliable system.

If you love autonomous robotics, solving challenging real world problems and delivering high-quality experiences, we want to talk with you!

Responsibilities and Duties:

  • Develop and optimize visual inertial navigation algorithms for drones, focusing on open-source visual inertial-based localization and visual SLAM techniques.
  • Implement and customize visual inertial navigation frameworks, ensuring seamless integration with existing drone systems and hardware.
  • Conduct extensive testing and validation of navigation algorithms in real-world scenarios, fine-tuning parameters and optimizing performance for robust and accurate navigation.
  • Evaluate and select appropriate sensors, cameras, IMUs, and other hardware components for visual inertial navigation systems.
  • Develop and maintain calibration and synchronization procedures for visual inertial sensor setups, ensuring accurate data fusion and pose estimation.
  • Develop repeatable testing methods to evaluate the performance and accuracy of the system for each iteration.
  • Collaborate with computer vision and robotics experts to leverage the latest advancements in the field and integrate them into visual inertial navigation systems.
  • Document and present research findings, technical specifications, and implementation details to internal and external stakeholders.
  • Provide technical guidance and support to cross-functional teams during the implementation and deployment of visual inertial navigation systems in real applications.

Qualifications and Skills:

  • Master or Ph.D. degree in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Strong hands-on experience in developing and implementing visual inertial navigation systems for drones, with a focus on open-source visual inertial-based localization and visual SLAM frameworks.
  • Deep understanding of computer vision techniques, including feature detection and tracking/matching, bundle adjustment, optical flow, depth estimation and camera calibration.
  • Excellent knowledge of sensor fusion techniques, including integrating visual and inertial data for accurate pose estimation and localization.
  • Expertise in optimization frameworks for visual inertial navigation systems.
  • Proficiency in programming languages such as C++, Python, or MATLAB, and thorough experience with ROS2 and OpenCV.
  • Track record of having implemented and deployed visual inertial navigation systems on robotic platforms in real applications.
  • Strong analytical and problem-solving skills, with the ability to design and evaluate complex algorithms in real-world scenarios.
  • Effective communication skills and the ability to work collaboratively in multidisciplinary teams, interacting with researchers, engineers, and external stakeholders.

Benefits

  • Flexible working hours & hybrid workplace
  • Stock Options
  • Generous holiday allowance
  • Pension plan 
  • Extended social security package 
  • Enhanced maternity & paternity leave
  • Mental health and wellbeing support
  • Learning and development opportunities
  • Regular team social
  • Snacks & Drinks

About Auterion

We are building the leading software platform for AI-powered autonomous systems for enterprise and government customers. Our team is supporting the most important missions and solving the most challenging problems.

At Auterion, we bring together the sharpest minds who love to solve the hardest problems. Join a vibrant team built on innovation, openness, and excellence, where you’ll be empowered to develop ideas, collaborate across all levels, and make an impact that matters.

Top Skills

C++
Matlab
Python
The Company
HQ: Moorpark, CA
73 Employees
On-site Workplace
Year Founded: 2017

What We Do

At Auterion we care about providing enterprise with an ecosystem of software-defined drones, payloads, and third party applications within a single easy to use platform based on open-source standards.

We’re leaders in an open-source movement bigger than ourselves and we’ve been on the same mission for over a decade, since our co-founder Lorenz Meier created Pixhawk, MAVLink, QGC, and PX4 (the world’s most widely used open-source drone autopilot operating system).
Our mission is to be the drone platform of choice for enterprise, government, and drone manufacturers while accelerating the drone industry by driving forward open standards to create a common, future-proof roadmap in a thriving, open ecosystem of buyers and vendors.
At Auterion, we bring together the sharpest minds who love to solve the hardest problems. Join a vibrant team built on innovation, openness, and excellence, where you’ll be empowered to develop ideas, collaborate across all levels, and make an impact that matters.

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