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, they’re building production‑ready AI systems that operate in the real world—not research demos. This is an opportunity to join one of Europe’s 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 We're 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 systems—not publishing research papers. You’ll work across object detection, multi‑object tracking, cross‑camera re‑identification, video pipelines, edge AI optimization, and modern vision‑language models.
What You’ll 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 We’re 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 you’re 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, we’d love to hear from you.
#J-18808-Ljbffr
Location: Zürich, Switzerland (On‑site)
Employment Type: Full‑time
Level: Mid‑Senior Level
Visa Sponsorship & Relocation Support: Available across Europe
About The Role We're 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 systems—not publishing research papers. You’ll work across object detection, multi‑object tracking, cross‑camera re‑identification, video pipelines, edge AI optimization, and modern vision‑language models.
What You’ll 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 We’re 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 you’re 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, we’d love to hear from you.
#J-18808-Ljbffr
Perception Engineer (Computer Vision & Edge AI) | Zürich Arbeitgeber: C&D Talent Advisory - Academy
Unser Kunde ist ein hervorragender Arbeitgeber, der die Möglichkeit bietet, als Founding Product Lead in Berlin an der Spitze der Transformation im Gesundheitswesen zu stehen. Mit einem wettbewerbsfähigen Gehalt und bedeutendem Eigenkapital haben Sie die Chance, direkt mit den Gründern zusammenzuarbeiten und die Produktstrategie von Grund auf zu gestalten. Die Unternehmenskultur fördert Innovation und Zusammenarbeit in einem kleinen, leistungsstarken Team, das sich auf die Verbesserung der Patientenversorgung konzentriert.
Kontaktdaten:
C&D Talent Advisory - Academy Recruiting-Team
