Synthetics Data Ops Engineer

Job Title: Synthetics Data Ops Engineer Company: Lumirithmic Location: London, UK (Hybrid) Company Description Lumirithmic, an Imperial College London spin-out, is redefining synthetic data for the next generation of immersive technologies. By combining advanced 3D computer graphics with AI, we create high-fidelity, large-scale datasets that power cutting-edge perception systems. Led by experts in computer graphics and machine learning, we’re building the infrastructure behind next-gen XR experiences,enabling robust hand tracking, eye tracking, and scene understanding for advanced XR platforms. Our mission is to bridge the gap between virtual data generation and real-world AI performance at scale. Role Description We are looking for a Synthetics Data Ops Engineer to drive the creation and delivery of high-quality synthetic datasets. In this role, you will work with our in-house, Blender-based platform to design, build, and execute scalable data pipelines tailored to partner needs. You’ll combine existing modules, develop new pipeline capabilities, and collaborate closely with stakeholders to ensure datasets are accurate, efficient, and aligned with real-world use cases. Key Responsibilities • Pipeline Execution & Delivery: Build, render, and deliver large-scale datasets (1M+ frames) reliably for partners across XR and AI teams. • Stakeholder Collaboration: Work directly with partners to understand requirements, iterate on feedback, and ensure high-quality outputs. • Platform Development & Maintenance: Develop new modular components, fix bugs, and maintain the synthetics platform for performance and reliability. Required Skills & Experience • Strong expertise in Blender, including the Blender Python API (bpy). • Solid software engineering fundamentals with experience writing clean, maintainable, and testable code. • Good understanding of human-centric computer graphics (modelling, materials, animation). • Strong communication and stakeholder management skills. • Proactive mindset with the ability to independently drive development and resolve issues efficiently. Preferred Skills • Experience with rendering at scale (e.g., render farms). • Knowledge of computer vision, particularly real-time systems. • Experience with machine learning frameworks (e.g., PyTorch, JAX). • Familiarity with the Blender C++ codebase. • Experience with AI-assisted coding or agent-based workflows. • Strong visual judgment and attention to detail for high-quality renders.