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
#J-18808-Ljbffr
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
#J-18808-Ljbffr
Perception Engineer – Computer Vision & Edge AI Arbeitgeber: C&D Talent Advisory
Als Arbeitgeber bieten wir Ihnen die Möglichkeit, in einem dynamischen und innovativen Umfeld zu arbeiten, in dem Ihre Beiträge direkt zur Entwicklung autonomer Robotersysteme beitragen. Unsere internationale, kollaborative Kultur fördert den Austausch von Ideen und ermöglicht es Ihnen, eng mit führenden Experten im Bereich KI und Robotik zusammenzuarbeiten. Darüber hinaus bieten wir wettbewerbsfähige Gehälter, bedeutende Eigenkapitalanteile sowie Visa- und Umzugshilfen, um sicherzustellen, dass Sie sich in Ihrer neuen Rolle wohlfühlen und wachsen können.
