Real-Time Vision Engineer for Jetson-Powered Drones

CDDS AG; Zürich; Presencial; CHF 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Direct impact on mission-critical tech

High ownership environment

Real-world testing and deployments

Attractive compensation

Descripción de la vacante

CDDS AG, based in Schlieren (Zürich), seeks a Senior Vision & Perception Engineer to architect and optimise a low-latency vision pipeline running on NVIDIA Jetson platforms, enabling real-time perception for high-speed interception drones.

You will develop and tune DeepStream-based pipelines in C++, integrate differential-imaging workflows, and collaborate with robotics and embedded engineers to ensure end-to-end performance.

Formación

• MSc/PhD in Computer Vision, Robotics, CS, or similar.
• Expert knowledge of DeepStream, GStreamer, and low-level video pipelines.
• Strong C++ skills and experience with CUDA, TensorRT, or Jetson optimisation.
• Strong background in modern detection models (YOLO, EfficientDet, etc.).
• Experience with ROS2 and multi-process robotic systems.

Responsabilidades

• Implement and optimize vision pipelines in C++ for low-latency object detection and tracking.
• Develop high-speed detection and tracking algorithms on Jetson platforms.
• Optimise TensorRT inference performance.
• Profile and tune performance down to kernel-level bottlenecks.
• Maintain GPU-accelerated development containers and CI pipelines.

Conocimientos

C++ programming

Vision & Perception

ROS2 / multi-process systems

Educación

MSc/PhD in Computer Vision, Robotics, CS, or similar

Herramientas

DeepStream

GStreamer

CUDA

TensorRT

Jetson optimisation

Descripción del empleo

CDDS AG, based in Schlieren (Zürich), seeks a Senior Vision & Perception Engineer to architect and optimise a low-latency vision pipeline running on NVIDIA Jetson platforms, enabling real-time perception for high-speed interception drones.

You will develop and tune DeepStream-based pipelines in C++, integrate differential-imaging workflows, and collaborate with robotics and embedded engineers to ensure end-to-end performance.