Senior Vision & Perception Engineer
About the company
You want to help protect western values? You want to protect people and critical infrastructure – ultimately saving the lives of thousands.
You want to work at the frontier of high‑performance autonomous systems.
Join us at CDDS to bring next‑generation control, guidance, and state‑estimation algorithms into high-speed kinetic interceptor drones.
Environment: High‑impact deep‑tech startup working on real deployments
Your tasks
Your Mission We are looking for a Senior Vision & Perception Engineer to architect and optimise our low-latency vision pipeline running on NVIDIA Jetson platforms. You will develop, tune, and extend DeepStream-based pipelines in C++, integrate differential-imaging workflows, and ensure end‑to‑end real‑time performance.
You will collaborate with robotics, control, and embedded engineers and build the perception backbone that enables high-speed interception.
Core Responsibilities
- 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
Requirements
- MSc/PhD in Computer Vision, Robotics, CS, or similar
- Expert knowledge in 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
- Comfortable with rapid field-testing cycles and high‑ownership environments
What we offer
- Direct impact on a mission‑critical technology shaping Europe’s security landscape
- Fast‑moving startup environment with high ownership
- Work with a highly technical, ambitious, and hands‑on team
- Real‑world testing, deployments, and customer demonstrations
- Attractive compensation
Other
Details Location: Schlieren (Zürich), on‑site
Start date: ASAP