Founding Engineer - AI Infrastructure

LinuxRecruit; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

LinuxRecruit is assembling a small, exceptional engineering team to define next steps in robotics AI infrastructure. You will own the infrastructure for AI training, bridging machine learning with distributed systems and cloud computing to produce production‑ready technology.

The role offers impact from day one and the chance to shape the technical direction of a pioneering startup.

Qualifications

• Experience building infrastructure for ML or compute‑intensive workloads.
• Knowledge of distributed training and modern DL frameworks is valuable.
• Ability to solve complex technical problems beyond title on CV.

Responsibilities

• Take ownership of the infrastructure powering AI training at the intersection of ML, distributed systems, cloud and robotics.
• Design and scale systems for large‑scale model training and efficient distributed workloads.

Skills

Distributed systems

Machine learning infra

High‑performance computing

Cloud computing

Job description

Overview

Robotics is approaching a defining moment. Artificial intelligence transformed how we interact with language. The next breakthrough will transform how machines interact with the physical world. Be a part of it.

Build a new generation of AI enabling robots to learn. They will pick up complex tasks from a single demonstration due to this technology. No need for months of programming, extensive data collection or thousands of examples; the technology allows robots to learn almost instantly. Simply show the robot what to do and it can begin performing the task with immense degrees of accuracy. Changing robotics forever.

This fundamentally different approach stems from years of scientific research and a series of breakthroughs in simulation, robotics and machine learning. It has already attracted significant backing from leading investors and now we are assembling a small team of exceptional engineers to help define what comes next. This is a talent dense organisation; you’ll have a voice and a stake in the company.

Responsibilities

Take ownership of the infrastructure that powers the AI training. This is not a conventional infrastructure role. You will work at the intersection of machine learning, distributed systems, cloud computing, and robotics, building the platforms that enable cutting‑edge research to become production‑ready technology. You may need to build a platform no one else has before.

Design and scale the systems that support large‑scale model training, improve the efficiency of distributed workloads, and develop the tooling that enables researchers to experiment rapidly and deploy new ideas with confidence. You will become a part of the founding team, helping to solve some of the most challenging engineering problems in modern AI and influencing the technical direction of the company from an early stage.

Qualifications

Engineers may come with experience building high‑performance infrastructure for machine learning or other compute‑intensive workloads. You may have worked in AI infrastructure, platform engineering, high‑performance computing, or a related field. Experience with distributed training, GPU orchestration, cloud infrastructure, modern deep learning frameworks, and production software engineering will be valuable, although we care far more about your ability to solve complex technical problems than the title on your CV.

Culture

The people who will thrive here are naturally curious, deeply technical, and motivated by difficult problems. They enjoy building new systems rather than maintaining existing ones, are comfortable working across research and engineering, and want the freedom to make meaningful technical decisions from the outset.

Join us

If you are looking for an opportunity to help build technology that will redefine robotics, alongside an ambitious and highly collaborative team, we would love to hear from you.