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About The Company Our client is building the intelligent software layer powering the next generation of autonomous security systems. Combining AI, robotics, cloud infrastructure, and computer vision, they enable robots and intelligent sensors to detect, understand, and respond to complex real-world environments.
Backed by experienced founders, leading investors, and a world‑class technical team, they're engineering the perception stack behind tomorrow's autonomous robotics.
Location: Zürich, Switzerland (On-site | Remote considered for exceptional candidates)
Employment Type: Full-time
Level: Mid-Senior Level
Visa Sponsorship & Relocation Support: Available
About The Role As a
Perception Engineer , you'll build and own the computer vision systems powering autonomous robots deployed in real-world environments. You'll transform state-of-the-art AI models into reliable production systems capable of detecting, tracking, and understanding objects across multiple cameras while running efficiently on edge hardware.
This is a builder's role where success is measured by real-world performance, not research papers. You'll work closely with AI, Robotics, and Software Engineering teams to deliver perception systems that operate reliably in demanding production environments.
What You'll Do
Design and deploy cross‑camera object re‑identification (ReID) systems for people and vehicles
Build high‑performance object detection and multi‑object tracking pipelines
Integrate Vision‑Language Models (VLMs) for scene understanding and operator intelligence
Develop robust real‑time video pipelines using RTSP and WebRTC
Optimize AI models for NVIDIA Jetson and edge devices using TensorRT, quantization, pruning, and latency optimization
Evaluate, fine‑tune, and train computer vision models where required
Build scalable image and video data pipelines for training and evaluation
Collaborate closely with Robotics and Software Engineering teams to integrate perception into autonomous systems
Continuously improve model reliability, performance, and deployment efficiency
What We're Looking For
3+ years of experience building and deploying production Computer Vision or Machine Learning systems
Strong expertise in object detection, multi‑object tracking, and cross‑camera ReID
Hands‑on experience with Vision‑Language Models (VLMs)
Experience building real‑time multi‑camera video processing pipelines using RTSP and WebRTC
Proven experience deploying AI models on edge hardware using TensorRT, quantization, pruning, or similar optimization techniques
Strong Python and PyTorch (or JAX) skills
Experience building reliable ML systems with strong software engineering practices
Experience managing large image and video datasets for training and evaluation
Builder mindset with strong ownership and the ability to thrive in a fast‑moving startup environment
Nice to Have
NVIDIA DeepStream
MLOps (model versioning, CI/CD, monitoring)
RAG and LLM‑based systems
Robotics, autonomous systems, surveillance, or defense
Edge AI deployment
Air‑gapped or on‑premise environments
Publications in CVPR, ICCV, NeurIPS, or ICLR
What We Offer
Competitive salary with meaningful equity
Visa and relocation support
Work alongside world‑class founders and AI researchers
Significant ownership over the perception stack from day one
Opportunity to build production AI systems deployed in the physical world
International, collaborative, engineering‑first culture
Direct impact on the future of autonomous robotics and intelligent security
Build the perception systems that enable autonomous robots to understand and navigate the real world...
#J-18808-Ljbffr
About The Company Our client is building the intelligent software layer powering the next generation of autonomous security systems. Combining AI, robotics, cloud infrastructure, and computer vision, they enable robots and intelligent sensors to detect, understand, and respond to complex real-world environments.
Backed by experienced founders, leading investors, and a world‑class technical team, they're engineering the perception stack behind tomorrow's autonomous robotics.
Location: Zürich, Switzerland (On-site | Remote considered for exceptional candidates)
Employment Type: Full-time
Level: Mid-Senior Level
Visa Sponsorship & Relocation Support: Available
About The Role As a
Perception Engineer , you'll build and own the computer vision systems powering autonomous robots deployed in real-world environments. You'll transform state-of-the-art AI models into reliable production systems capable of detecting, tracking, and understanding objects across multiple cameras while running efficiently on edge hardware.
This is a builder's role where success is measured by real-world performance, not research papers. You'll work closely with AI, Robotics, and Software Engineering teams to deliver perception systems that operate reliably in demanding production environments.
What You'll Do
Design and deploy cross‑camera object re‑identification (ReID) systems for people and vehicles
Build high‑performance object detection and multi‑object tracking pipelines
Integrate Vision‑Language Models (VLMs) for scene understanding and operator intelligence
Develop robust real‑time video pipelines using RTSP and WebRTC
Optimize AI models for NVIDIA Jetson and edge devices using TensorRT, quantization, pruning, and latency optimization
Evaluate, fine‑tune, and train computer vision models where required
Build scalable image and video data pipelines for training and evaluation
Collaborate closely with Robotics and Software Engineering teams to integrate perception into autonomous systems
Continuously improve model reliability, performance, and deployment efficiency
What We're Looking For
3+ years of experience building and deploying production Computer Vision or Machine Learning systems
Strong expertise in object detection, multi‑object tracking, and cross‑camera ReID
Hands‑on experience with Vision‑Language Models (VLMs)
Experience building real‑time multi‑camera video processing pipelines using RTSP and WebRTC
Proven experience deploying AI models on edge hardware using TensorRT, quantization, pruning, or similar optimization techniques
Strong Python and PyTorch (or JAX) skills
Experience building reliable ML systems with strong software engineering practices
Experience managing large image and video datasets for training and evaluation
Builder mindset with strong ownership and the ability to thrive in a fast‑moving startup environment
Nice to Have
NVIDIA DeepStream
MLOps (model versioning, CI/CD, monitoring)
RAG and LLM‑based systems
Robotics, autonomous systems, surveillance, or defense
Edge AI deployment
Air‑gapped or on‑premise environments
Publications in CVPR, ICCV, NeurIPS, or ICLR
What We Offer
Competitive salary with meaningful equity
Visa and relocation support
Work alongside world‑class founders and AI researchers
Significant ownership over the perception stack from day one
Opportunity to build production AI systems deployed in the physical world
International, collaborative, engineering‑first culture
Direct impact on the future of autonomous robotics and intelligent security
Build the perception systems that enable autonomous robots to understand and navigate the real world...
#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
