GPU-Driven Inference Engineer for 3D World Models

Spaitial Ltd.; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

SpAItial in London is seeking a Research Engineer to own the backend that serves our world models. You will build and run the inference systems behind our product and API, turning frontier research models into fast, reliable, scalable services.

This hands-on role requires shipping production APIs, optimizing serving performance, GPU utilization, and collaborating with researchers to bring new models to users.

Qualifications

• 3+ years of software engineering in an AI, machine learning, or computer vision product environment.
• Experience designing and owning production APIs.
• Strong Python, and experience shipping containerized services on GPU inference platforms.
• Hands-on GPU inference performance work: profiling, memory, batching, and cold start.
• Familiarity with 3D or computer vision data is a strong plus.

Responsibilities

• Own the inference services and APIs that power our product, from request to generated output.
• Optimize serving performance, reliability, and cost at scale. Maximize GPU utilization and minimize device memory footprint.
• Apply latest techniques for improving inference performance.
• Deploy research models as production services, including customer-specific configurations.
• Work with research and product colleagues to bring new models to users.

Skills

Python

API design

GPU inference

Containerization

Tools

Docker

Kubernetes

Job description

SpAItial in London is seeking a Research Engineer to own the backend that serves our world models. You will build and run the inference systems behind our product and API, turning frontier research models into fast, reliable, scalable services.

This hands-on role requires shipping production APIs, optimizing serving performance, GPU utilization, and collaborating with researchers to bring new models to users.