Senior CV Engineer: Real-Time Onboard Perception

Auterion; Zürich; Sur place; CHF 140 000 - 210 000; Plein temps

Avantages offerts par ce poste

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

Résumé du poste

Auterion is seeking a Senior Computer Vision Engineer to build and deploy perception systems for onboard autonomous aerial platforms. You will work across classical CV and deep learning, sensor calibration, model training, and optimization for constrained hardware, delivering results in real time during flight tests.

You will lead end-to-end CV work from problem definition to deployment, collaborating with pilots, integrators and stakeholders.

Qualifications

• Degree in Computer Science, Electrical Engineering, Robotics or a related field, or equivalent practical experience.
• Strong hands on experience deploying computer vision systems on resource constrained platforms, ideally robotic or aerial.
• Solid grounding in classical computer vision: feature detection and matching, optical flow, camera models and calibration, multiple view geometry.
• Practical experience training and deploying convolutional neural networks for detection or classification, including the unglamorous parts: data collection, labelling quality, retraining loops and honest evaluation.
• Rigor about timing and synchronization across sensors. Understanding of why timestamps, exposure timing and latency matter, and experience debugging problems that turned out to be timing problems.
• Proficiency in C++ and Python, with real experience in OpenCV.
• Track record of taking computer vision work end to end, from problem definition to something running in a real deployment.
• Comfort with field work, including travel to test sites and debugging from real world logs and video.
• Ability to navigate ambiguity and lead across teams in a fast moving environment.
• Effective communication and collaboration across engineering, product and external stakeholders.
• EU citizenship required.

Responsabilités

• Design, implement and optimize onboard perception algorithms for real time detection, temporal association and state estimation of dynamic objects from a moving platform.
• Train, retrain and evaluate neural networks for detection and classification, including dataset curation, labelling strategy and evaluation methodology.
• Optimize models and pipelines for embedded inference, working to explicit latency, throughput and compute budgets.
• Develop and maintain camera calibration and sensor synchronization procedures, including multi camera and multi sensor setups.
• Combine visual measurements with inertial and platform state data using filtering and estimation techniques for robust performance under egomotion.
• Plan and run field test campaigns. Take algorithms from bench to flight, work with pilots and integrators on site, and close the loop on real captured data.
• Build repeatable evaluation methods so that performance and accuracy are measurable across every iteration rather than judged by eye.
• Provide input into camera, lens, sensor and compute selection, and evaluate hardware options against real performance data.
• Take full ownership of computer vision deliverables. Disambiguate requirements, drive alignment across teams, keep stakeholders informed and see work through to the customer.
• Mentor and coach other engineers, and raise the bar on product quality.

Connaissances

C++

Python

Robotics

Computer vision

Real-time systems

Field testing

Communication

Outils

OpenCV

ROS2

Embedded hardware

Description du poste

Auterion is seeking a Senior Computer Vision Engineer to build and deploy perception systems for onboard autonomous aerial platforms. You will work across classical CV and deep learning, sensor calibration, model training, and optimization for constrained hardware, delivering results in real time during flight tests.

You will lead end-to-end CV work from problem definition to deployment, collaborating with pilots, integrators and stakeholders.