Senior Computer Vision Engineer

Auterion; Zurich (KS); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

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

Job summary

Auterion is seeking a Senior Computer Vision Engineer to design and deploy onboard perception for autonomous aerial platforms. You’ll work across classical CV, deep learning, camera calibration, and embedded inference, delivering real-time performance on constrained hardware.

You will train networks, optimize pipelines, and take algorithms from bench to flight, coordinating with pilots and teams to ensure robust field results and measurable improvements in logs and videos.

Qualifications

• Degree in Computer Science, Electrical Engineering, Robotics or a related field, or equivalent practical experience.
• Hands-on CV deployment on resource constrained platforms, ideally robotic or aerial.
• Strong grounding in classical vision: features, matching, optical flow, calibration and geometry.
• Experience training and deploying CNNs for detection/classification with end-to-end evaluation.
• Rigorous timing and sensor synchronization, latency matters, debugging timing issues.
• Proficiency in C++ and Python, with OpenCV experience.
• End-to-end CV work from problem definition to real deployment.
• Willingness for field work and travel to test sites and analyze real logs.
• Ability to navigate ambiguity and lead across teams; strong communication.

Responsibilities

• Design, implement and optimize onboard perception algorithms for real time detection and state estimation.
• Train, retrain and evaluate neural networks for detection and classification, including data labelling.
• Optimize models and pipelines for embedded inference within latency/throughput budgets.
• Develop and maintain camera calibration and sensor synchronization procedures.
• Combine visual measurements with inertial data using filtering and estimation techniques.
• Plan and run field test campaigns; fly, collect data, analyze logs with pilots and integrators.
• Build repeatable evaluation methods for cross-iteration performance measurement.
• Provide input into hardware options and evaluate compute options against data.
• Take ownership of CV deliverables, drive alignment, and mentor other engineers.

Skills

C++ & Python

OpenCV

Embedded deployment

End-to-end CV projects

Field work

Cross-team leadership

Education

Bachelor's degree in CS/EE/Robotics or related field

Tools

ROS2

PX4 / MAVLink

Embedded inference runtimes

Job description

Overview

We are looking for a Senior Computer Vision Engineer to build and deploy perception systems that run onboard autonomous aerial platforms. This is not offline research. Our algorithms run in real time on embedded computers, in the air, in conditions we do not control.

You will work across the full stack of the problem: classical computer vision and deep learning, camera and sensor selection, calibration, model training and evaluation, and optimization for constrained hardware. You will take your work to the field, fly it, look at the logs, and improve it. Our platforms serve both commercial and government customers across applications including inspection, mapping, search and rescue and security.

If you like hard real world problems and short feedback loops between an idea and a flight test, we want to talk with you.

Responsibilities and Duties

• 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.

Qualifications and Skills

• 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.

Nice to have

• State estimation and sensor fusion. Kalman and extended Kalman filters, IMU integration, estimation under egomotion.
• Experience with visual inertial odometry or visual SLAM, or other hard estimation work on a moving platform.
• Experience with ROS2 or similar middleware.
• Experience with embedded inference runtimes and model optimization such as quantization or pruning.
• Familiarity with GPU or NPU accelerated pipelines on embedded SoCs.
• Experience building CI or hardware in the loop infrastructure for perception regression testing.
• Background in aerial platforms, PX4 or MAVLink based systems.

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.