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- Tasks: Create and deliver high-quality synthetic datasets using Blender for immersive tech.
- Company: Join Lumirithmic, an innovative spin-out from Imperial College London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology and creative problem-solving.
- Why this job: Be at the forefront of XR technology and make a real impact in the industry.
- Qualifications: Strong Blender experience and Python programming skills are essential.
The predicted salary is between 50000 - 70000 £ per year.
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.
We are looking for a Synthetic Data Engineer (Blender & XR) 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.
Key Responsibilities
- Build, render, and deliver large-scale synthetic datasets (1M+ frames) reliably for partners across XR and AI teams.
- Operate and optimize scalable rendering and visual data generation workflows.
- Ensure delivery quality, consistency, and operational reliability across datasets and pipeline runs.
- Work directly with partners to understand requirements, iterate on feedback, and ensure high-quality outputs.
- Translate partner needs into scalable synthetic data generation workflows and rendering solutions.
- Communicate progress, technical tradeoffs, and operational constraints clearly.
- Develop new modular components, fix bugs, and maintain the synthetic data platform for performance and reliability.
- Build and improve Blender-based automation tooling and pipeline infrastructure.
- Support operational scalability and continuous improvements across rendering and dataset workflows.
Required Skills & Experience
- Strong professional experience with Blender is required.
- Strong expertise with the Blender Python API (bpy).
- Solid software engineering fundamentals with experience writing clean, maintainable, and testable code.
- Strong Python programming skills.
- Experience building or maintaining Blender-based automation, rendering, or pipeline tooling.
- Good understanding of human-centric computer graphics, including modelling, materials, lighting, animation, and rendering workflows.
- 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.
- Experience in synthetic data generation, VFX, games, XR, simulation, or technical art workflow.
Synthetic Data Ops Engineer (Blender & XR) in Slough employer: Lumirithmic
Contact Detail:
Lumirithmic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Synthetic Data Ops Engineer (Blender & XR) in Slough
✨Tip Number 1
Get your Blender skills sharp! Make sure you can showcase your experience with the Blender Python API. We want to see how you've used it in real projects, so be ready to discuss specific examples during interviews.
✨Tip Number 2
Network like a pro! Connect with folks in the XR and synthetic data space on LinkedIn or at industry events. We often find that personal connections can lead to job opportunities, so don’t be shy about reaching out!
✨Tip Number 3
Prepare for technical challenges! Brush up on your coding skills and be ready to tackle some practical tests. We love candidates who can demonstrate their problem-solving abilities, especially when it comes to building scalable data pipelines.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who are eager to contribute to our mission of redefining synthetic data.
We think you need these skills to ace Synthetic Data Ops Engineer (Blender & XR) in Slough
Some tips for your application 🫡
Show Off Your Blender Skills: Make sure to highlight your experience with Blender and the Blender Python API in your application. We want to see how you've used these tools in real-world projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific experiences that align with our mission at Lumirithmic and how you can contribute to creating high-quality synthetic datasets.
Communicate Clearly: We love clear communication! In your written application, be sure to explain your thought process and how you approach problem-solving. This will help us understand your technical trade-offs and operational strategies.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Lumirithmic
✨Master Blender Basics
Make sure you’re well-versed in Blender and the Blender Python API (bpy). Brush up on your skills by working on small projects or tutorials that showcase your ability to create and manipulate 3D models. Being able to demonstrate your hands-on experience will definitely impress the interviewers.
✨Showcase Your Pipeline Knowledge
Prepare to discuss your experience with data pipelines, especially in relation to rendering workflows. Think of specific examples where you’ve built or optimised a pipeline, and be ready to explain the challenges you faced and how you overcame them. This will show your problem-solving skills and technical expertise.
✨Communicate Clearly
Since this role involves stakeholder collaboration, practice articulating your thoughts clearly and concisely. Be prepared to explain complex technical concepts in simple terms. This will not only help you during the interview but also demonstrate your ability to work effectively with non-technical partners.
✨Prepare for Technical Questions
Expect some technical questions related to software engineering fundamentals and Python programming. Brush up on writing clean, maintainable code and be ready to solve coding problems on the spot. Practising common coding challenges can help you feel more confident during this part of the interview.