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About the Company

Our client is an ambitious AI robotics startup building the intelligent software layer powering the next generation of autonomous physical security systems.

Their mission is to enable robots and intelligent sensors to perform dangerous and critical security tasks by combining cutting-edge AI robotics and computer vision. Backed by experienced founders and leading investors theyre building production-ready AI systems that operate in the real worldnot research demos.

This is an opportunity to join one of Europes most exciting robotics startups at an early stage and help shape products deployed in real-world environments.

• Location: Zürich Switzerland (On-site)
• Employment Type: Full-time
• Level: Mid-Senior Level
• Visa Sponsorship & Relocation Support: Available across Europe

About the Role

Were looking for a Perception Engineer to build production-grade computer vision systems powering intelligent robotic platforms.

This is a highly hands-on engineering role focused on designing deploying and optimizing real-time perception systemsnot publishing research papers. Youll work across object detection multi-object tracking cross-camera re-identification video pipelines edge AI optimization and modern vision-language models.

Youll collaborate closely with robotics AI and software engineers to build systems that perform reliably in real-world deployments.

If you enjoy solving difficult perception challenges and seeing your models operate on real robots in the field wed love to hear from you.

What Youll Do

Computer Vision;

• Build production-ready object detection tracking and cross-camera re-identification systems
• Develop high-performance multi-camera perception pipelines
• Integrate modern Vision-Language Models (VLMs) for scene understanding and open-vocabulary detection

Edge AI;

• Deploy and optimize deep learning models for NVIDIA Jetson and other edge hardware
• Improve inference performance using TensorRT quantization pruning and latency optimization
• Ensure perception systems meet real-time performance requirements

Video Infrastructure;

• Build scalable RTSP and WebRTC video pipelines
• Handle multi-stream processing synchronization latency and reliability
• Optimize end-to-end video ingestion and processing

Machine Learning;

• Evaluate fine-tune and deploy state-of-the-art open-source and commercial models
• Train custom models when product requirements demand it
• Build robust data pipelines for image and video datasets
• Design reproducible evaluation workflows and performance monitoring

Cross-Functional Collaboration;

• Work closely with Robotics AI and Software Engineering teams
• Integrate perception outputs into autonomous robotic systems
• Help shape the long-term perception architecture of the platform

What Were Looking For

Must Have;

• 3 years of experience building production computer vision or machine learning systems
• Strong Python and PyTorch (or JAX) experience
• Experience with object detection and multi-object tracking
• Experience deploying ML models on edge devices
• Hands-on TensorRT optimization and model acceleration
• Experience with quantization latency optimization or pruning
• Knowledge of RTSP and/or WebRTC video streaming
• Experience building scalable image/video data pipelines
• Strong software engineering fundamentals
• Ability to take systems from prototype to production

Nice to Have;

• Cross-camera ReID experience
• Vision-Language Models (VLMs)
• NVIDIA DeepStream
• MLOps and ML deployment pipelines
• CI/CD for Machine Learning
• Model monitoring
• Robotics or autonomous systems
• Drone or surveillance systems
• RAG and LLM integrations
• ROS2
• Publications at CVPR ICCV NeurIPS ICLR etc.

What We Offer

• Competitive salary
• Visa and relocation support across Europe
• Work alongside world-class AI Robotics and Physics founders
• Access to large-scale compute resources and real-world robotic data
• High ownership from day one
• Small ambitious engineering team with minimal bureaucracy
• Opportunity to build production AI systems deployed in real-world security environments
• Modern office in Zürich
• International collaborative and engineering-driven culture

If youre passionate about deploying state-of-the-art computer vision systems into real-world robotics applications and want to help shape the future of autonomous security wed love to hear from you...