Senior Computer Vision Engineer at Auterion

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

01 Jan, 26

Salary

0.0

Posted On

03 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Visual Inertial Navigation, Visual SLAM, Sensor Fusion, Optimization Frameworks, C++, Python, MATLAB, ROS2, OpenCV, Feature Detection, Tracking, Pose Estimation, Algorithm Design, Problem Solving, Leadership, Mentorship

Industry

Software Development

Description

We are seeking a highly skilled Computer Vision Engineer for vision based navigation systems with a proven track record of implementing and deploying vision based navigation systems on resource constrained devices, such as unmanned aerial vehicles. 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. In this position, the candidate 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 product facing role where you would be taking the lead on all aspects of development, from providing input into hardware selection to evaluations and performance optimizations to ensure a smooth operation of our products. You will work closely with stakeholders from multiple departments and teams in order to see projects through from the ideation phase to the hands of our customers. If you love solving challenging real world problems and delivering high-quality experiences by applying your specialized knowledge, 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. Take full ownership of computer vision deliverables, leading across and providing technical guidance to disambiguate requirements, driving alignment, keeping stakeholders in the loop and ensuring strategic goals are met. Provide mentorship and coaching to other engineers, enabling career growth and acting as a bar raiser for product quality. 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. Demonstrated track record of owning computer vision deliverables end to end and the ability to deploy them to real world applications. Ability to effectively navigate ambiguity and lead across in a fast paced environment. Demonstrated leadership skills, providing direction and mentorship to elevate product quality and team effectiveness. Effective communication skills and the ability to work collaboratively in multidisciplinary teams, interacting with researchers, engineers, and external stakeholders. Benefits Flexible working hours Stock Options Generous holiday allowance Company pension plan Car parking Enhanced maternity & paternity leave Mental health and wellbeing support Learning and development opportunities 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.

Responsibilities

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.