At a Glance
- Tasks: Design high-fidelity synthetic data engines and develop automated rendering pipelines.
- Company: Join SpAItial, a leader in generative AI and computer vision.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse workplace committed to equal opportunity and innovation.
- Why this job: Be at the forefront of redefining 3D environments and world intelligence.
- Qualifications: Strong graphics background and proficiency in rendering software required.
The predicted salary is between 63000 - 77000 £ per year.
Sp AItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world.
Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically-grounded 3D environments.
We are looking for a research engineer with a deep graphics understanding to bridge the gap between high-end rendering and frontier AI.
You will lead the creation of the synthetic engines that power our models, designing scalable pipelines that generate the ground-truth reality for our next‑generation world models.
If you are a graphics expert who wants to move beyond visual effects and start building the training grounds for world Intelligence, we want you on our team.
Responsibilities
- Design and architect high-fidelity synthetic data engines to train large-scale World Models.
- Develop and scale automated rendering pipelines to generate diverse, physically-consistent 3D environments.
- Integrate and refine rendering workflows using tools like Blender, Unity, 3DMax, or equivalent platforms.
- Work with our world‑class research team to ensure datasets and synthetic data workflows align with our world model training objectives.
- Key Qualifications
- Strong background in computer graphics with a proven track record of building complex rendering systems or high-fidelity simulation environments.
- Deep understanding of 3D representations (meshes, voxels, point clouds, implicit surfaces, etc.); knowledge in 3D Gaussian Splatting and volumetric rendering is a nice to have.
- Proficiency in Blender, Unity, Unreal Engine, 3DMax, or similar rendering and simulation software.
- Bachelor’s, Master’s, or equivalent experience in computer science, graphics, or related fields.
- Nice to have: experience, or ambition to work with procedural generation tools and techniques.
- Background in large-scale data workflows for AI/ML model training.
At Sp AItial, we are committed to creating a diverse and inclusive workplace.
We welcome applications from people of all backgrounds, experiences, and perspectives.
We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.
#J-18808-Ljbffr
Research Engineer - Graphics employer: SpAItial AI
At SpAItial, we pride ourselves on fostering a creative and collaborative work environment where innovation thrives. As our first Public-Facing Technical Artist & 3D Prototyper, you'll have the unique opportunity to shape your role while working alongside passionate product engineers in a dynamic setting. We offer competitive benefits, a strong focus on employee growth, and the chance to showcase your work through engaging social media content, making this an exciting place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer - Graphics
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at SpAItial AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to SpAItial AI.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like SpAItial AI.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like SpAItial AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Research Engineer - Graphics
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at SpAItial AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at SpAItial AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at SpAItial AI
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If SpAItial AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
