Perception Engineer (Computer Vision & Edge AI) | Zürich
Back to Jobs
Cross Border TalentsGet Smart Job AI Coach in the appFree on iOS and Android 






Perception Engineer (Computer Vision & Edge AI) | Zürich
Location
St. Gallen, Switzerland
Experience
Mid
Posted
Jul 14, 2026
Apply by
July 31, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
## About the Hiring Process
When you apply, our AI-powered matching platform considers you not only for this opportunity, but also for other relevant roles across our network, so one application can unlock multiple career opportunities.
We only work with real companies hiring for live positions. Every opportunity on our platform is an active search. If there's a strong match, we'll guide you through the process. If not, we won't ignore you.
# 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, 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.
You'll 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, we'd love to hear from you.
# 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...
Key Responsibilities
- Build production-ready object detection, tracking, and cross-camera re-identification systems
- Develop high-performance multi-camera perception pipelines
- Integrate modern Vision-Language Models for scene understanding
- Deploy and optimize deep learning models for NVIDIA Jetson and other edge hardware
- Improve inference performance using TensorRT, quantization, pruning, and latency optimization
- Build scalable RTSP and WebRTC video pipelines
- Handle multi-stream processing, synchronization, latency, and reliability
- 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
- Integrate perception outputs into autonomous robotic systems
Skills Required
PythonPyTorchJAXObject detectionMulti-object trackingTensorRTQuantizationPruningLatency optimizationRTSPWebRTCComputer VisionMachine LearningSoftware EngineeringCollaborationProblem solvingCross-camera ReIDVision-Language ModelsNVIDIA DeepStreamMLOpsML deployment pipelinesCI/CD for Machine LearningModel monitoringRoboticsAutonomous systemsDrone systemsSurveillance systemsRAGLLM integrationsROS2
Benefits
- Competitive salary
- Visa and relocation support
- Access to large-scale compute resources
- High ownership
- Modern office in Zürich
- International, collaborative, and engineering-driven culture
App exclusive · Free
Smart Job AI Coach
Your personal interview coach on every job — readiness tips, profile improvements, and role-specific prep. Available only in the Pulse Job app.
Interview readiness
See how prepared you are and what to improve for each role.
Personalized tips
Actionable suggestions based on your profile and the job.
After you apply
Keep coaching momentum from job detail through application success.
Similar roles for you
Matched using this role's title and skills. Open the job search anytime to see every listing.

Perception Engineer (Computer Vision & Edge AI) | Zürich
Cross Border Talents
Full-timeEasy applyWork from Office
BerlinMid

Perception Engineer (Computer Vision & Edge AI) | Zürich
Cross Border Talents
Full-timeEasy applyWork from Office
EindhovenMid

Perception Engineer (Computer Vision & Edge AI) | Zürich
Cross Border Talents
Full-timeEasy applyWork from Office
ViennaMid

Perception Engineer (Computer Vision & Edge AI) | Zürich
Cross Border Talents
Full-timeEasy applyWork from Office
ZugMid

Perception Engineer (Computer Vision & Edge AI) | Zürich
Cross Border Talents
Full-timeEasy applyWork from Office
ZürichMid

Perception Engineer (Computer Vision & Edge AI) | Zürich
Cross Border Talents
Full-timeEasy applyWork from Office
StuttgartMid