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Senior Software Engineer (Real-Time Edge AI & Computer Vision)

kappture • United Kingdom
Relocation
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AI Summary

Lead the development of BRISK, Kappture’s AI-powered tap-and-go hospitality platform, by designing production-grade C++ systems for real-time edge computing, multi-camera computer vision, and spatial reasoning. Own end-to-end AI pipelines from research to deployment, optimizing performance under real-world constraints like occlusion, variable lighting, and hardware limitations. Drive architectural improvements, engineering practices, and AI-assisted tooling to enhance reliability, observability, and scalability in high-volume venues.

Key Highlights
Hands-on senior role designing and scaling BRISK’s AI-enabled edge platform for stadiums, arenas, and universities
Own real-time C++ systems for multi-camera computer vision, tracking, and inference with GPU/edge hardware integration
Move AI models from research to production, ensuring reliability, observability, and safe rollout in live environments

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Key Responsibilities
Design and implement production-grade C++ systems for real-time edge computing and multi-camera computer vision in high-throughput hospitality environments
Develop and optimize multi-camera calibration, synchronization, and spatial alignment for BRISK’s AI platform under real-world constraints (occlusion, lighting variation, hardware limits)
Translate research models into production-ready systems with versioning, deployment controls, and rollback mechanisms for safe AI-driven operations
Work hands-on with cameras, GPUs, and edge hardware to diagnose failures, validate deployments, and improve hardware-software integration
Drive architectural improvements in modularity, concurrency, error handling, and testability for the BRISK platform
Establish AI-enabled engineering practices (e.g., automated testing, diagnostics, codebase exploration) while maintaining human oversight for production safety
Lead technical investigations, mentoring, and cross-team collaboration with data scientists, product managers, and deployment teams
Define measurable accuracy/performance criteria for computer vision and real-time systems, ensuring reliability under operational stress
Technical Skills Required
C++ (production systems, real-time, edge computing) Computer Vision (multi-camera calibration, tracking, spatial reasoning) Real-Time Systems (GPU optimization, latency/throughput, fault tolerance)

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Benefits & Perks
25 days annual leave
Hybrid working from Galway with at least 3 days/week in-office
Competitive salary and benefits package

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Nice to Have
Experience with Eigen, Ceres, CUDA, TensorRT, or OpenCV
Background in robotics, autonomous systems, or high-performance visual tracking
Knowledge of model optimization (quantization), edge deployment (NVIDIA platforms), or camera drivers
Practical use of AI-assisted tools for codebase exploration, test generation, or performance analysis

Job Description

Kappture develops point-of-sale, payments and intelligent hospitality technology for high-volume environments, including stadiums, arenas, universities and major event venues.Our products operate in live environments where transaction speed, reliability, throughput and operational simplicity are critical.BRISK, powered by KapptureVision, is our AI-enabled tap-and-go hospitality platform. It combines computer vision, edge computing, real-time inference and operational analytics to enable fast, frictionless customer experiences in demanding venues.
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Job Overview
Posted Date Sep 29, 2026
Employment Type Full-time
Experience Level Associate
Location United Kingdom
Category Programming
Company kappture
Mentioned Skills
ai c++ embedded computer vision c storage simulation design systems git technical expertise machine learning

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