Autonomous Drone CV/ML Engineer — Zurich On-site

Sunflower Labs GmbH; Schweiz; On-site; CHF 110,000 - 160,000; Full time

Job summary

Sunflower Labs GmbH in Zurich is seeking a computer vision and machine learning engineer to advance the perception capabilities of our autonomous drone-in-a-box system. You will join a focused CV/ML team and help take algorithms from prototype to deployment on field-ready hardware.

Responsibilities include designing and implementing real-time vision features, training models for object detection and segmentation, and optimizing for edge devices such as NVIDIA Jetson.

Qualifications

• Degree in Computer Science, Electrical Engineering, Robotics Engineering, or a related field (or equivalent practical experience)
• Solid understanding of computer vision and machine learning fundamentals
• Strong programming skills in Python and C++
• Experience with PyTorch or TensorFlow, OpenCV, ROS/ROS2, CUDA, TensorRT
• Experience with end-to-end model development: from dataset curation, labeling strategies, active learning workflows to deployment and optimization for edge devices
• Experience with transformers, large/vision language models and prompt design for perception tasks is a plus
• Experience with GStreamer pipelines and custom plugin development is a plus
• Experience with Qualcomm edge devices and CV/ML SDKs is a plus
• Good oral and written skills in English
• Work permit in Switzerland required

Responsibilities

• Design and develop a wide variety of computer vision and machine learning features for real-time unmanned aerial vehicle (UAV) applications
• Train, fine-tune and evaluate deep learning models for tasks such as object detection, semantic segmentation, image retrieval/reidentification
• Optimize algorithms and models for edge devices (NVIDIA Jetson and Qualcomm Dragonwing), and integrate them into our image and video processing pipelines
• Monitor ML model performances in real world deployments and set up workflows for continuous improvement (data collection, curation, labeling, retraining, evaluation)
• Integrate large/vision language models into our system, and design, test and maintain queries for tasks like scene understanding, situational awareness and hazard analysis

Skills

Python

C++

Computer vision

Machine learning

Edge deployment

Model evaluation

Education

Bachelor’s degree in Computer Science, Electrical Engineering, Robotics or related field

Tools

NVIDIA Jetson

PyTorch

TensorFlow

OpenCV

ROS/ROS2

CUDA

TensorRT

GStreamer

Job description

Sunflower Labs GmbH in Zurich is seeking a computer vision and machine learning engineer to advance the perception capabilities of our autonomous drone-in-a-box system. You will join a focused CV/ML team and help take algorithms from prototype to deployment on field-ready hardware.

Responsibilities include designing and implementing real-time vision features, training models for object detection and segmentation, and optimizing for edge devices such as NVIDIA Jetson.