Edge CV/ML Engineer for Autonomous Drones (Zurich)

Sunflower Labs GmbH; Stallikon; On-site; CHF 120,000 - 180,000; Full time

Job summary

Sunflower Labs GmbH in Zürich, Switzerland is seeking a Computer Vision and Machine Learning Engineer to build and deploy intelligent perception for our autonomous drone-in-a-box platform. You will tackle real-time object detection, tracking on embedded devices, and scene understanding from prototype to production.

As part of a small, technical team you will own end-to-end solutions across the software stack, optimize for edge devices (Jetson/Dragonwing), and contribute to cloud inference, data

Qualifications

• Degree in Computer Science, Robotics, Electrical Engineering, or equivalent.
• Strong CV/ML fundamentals.
• Proficiency in Python and C++ for production systems.

Responsibilities

• Design and develop real-time computer vision features for UAV applications.
• Train, fine-tune and evaluate deep learning models for object detection, segmentation, and image retrieval.
• Optimize algorithms for edge devices and integrate into image/video pipelines.
• Monitor model performance in deployments and establish improvement workflows.
• Evaluate and integrate large/vision-language models for scene understanding and deployment.

Skills

Python

C++

CV/ML fundamentals

PyTorch/TensorFlow

ONNX/TensorRT/CUDA

Edge device optimization

English communication

Education

Degree in Computer Science / Robotics / Electrical Engineering

Tools

NVIDIA Jetson

OpenCV

GStreamer

ROS/ROS2

CUDA

Job description

Sunflower Labs GmbH in Zürich, Switzerland is seeking a Computer Vision and Machine Learning Engineer to build and deploy intelligent perception for our autonomous drone-in-a-box platform. You will tackle real-time object detection, tracking on embedded devices, and scene understanding from prototype to production.

As part of a small, technical team you will own end-to-end solutions across the software stack, optimize for edge devices (Jetson/Dragonwing), and contribute to cloud inference, data