AI infrastructure engineer

LinuxRecruit; Greater London; Presencial; GBP 90.000 - 150.000; Jornada completa

Descripción de la vacante

LinuxRecruit in London is seeking a talented AI infrastructure engineer to own the systems powering large‑scale model training. You will architect and optimise distributed workloads across multi‑node GPU clusters in AWS, focusing on removing bottlenecks and maximising GPU utilisation.

You’ll collaborate with PyTorch‑based learning frameworks, Slurm, and Kubernetes, helping evolve the platform to support next‑generation GPU infrastructure and specialised compute providers, while shaping the

Formación

• Experience building and maintaining large-scale AI training platforms.
• Proficiency with GPU clusters, distributed training, and cost-aware scheduling.
• Strong knowledge of Linux, networking, and performance profiling.

Responsabilidades

• Own the systems powering large-scale model training and optimise the training pipeline.
• Architect and manage distributed workloads across multi-node GPU clusters in AWS.
• Maximise GPU utilisation, remove bottlenecks and improve throughput.
• Manage cluster orchestration with Slurm and Kubernetes; evolve platform for future GPUs.
• Collaborate across teams to support PyTorch-based learning frameworks and storage/networking.

Conocimientos

Distributed systems

GPU clusters

Slurm

Kubernetes

PyTorch

AWS

Performance optimisation

Herramientas

Slurm

Kubernetes

PyTorch

AWS

Descripción del empleo

Work on the cutting edge of AI, creating a platform to help change the future.

This is an opportunity to join an AI startup working at the intersection between cutting edge robotics and AI, joining at a stage where your impact will shape not just the future of the company itself but the future of the world itself.

You will be joining a company that is still in stealth but has already secured a record-breaking seed round, giving you the rare opportunity to have a genuine impact at an early stage of its journey. This isn't just another AI startup, it's a talent-dense team of world‑class engineers and researchers pushing the boundaries of embodied AI and solving some of the hardest technical challenges in the field.

As a key member of the AI infrastructure team, you'll take ownership of the systems that power large-scale model training, architecting and optimising distributed workloads across multi-node GPU clusters in AWS. You'll focus on removing bottlenecks throughout the training pipeline, maximising GPU utilisation, improving throughput, and ensuring training is as efficient and cost-effective as possible. You'll also play a critical role in managing cluster orchestration with Slurm and Kubernetes while helping evolve the platform to support next‑generation GPU infrastructure and specialised compute providers.

This is an opportunity to work across the full AI training stack, from PyTorch‑based learning frameworks and distributed training libraries through to networking, storage, and high‑performance infrastructure. Working side by side with an exceptional team in the London lab, you'll have significant ownership over core systems, influence key technical decisions, and help build the platform that will underpin the company's future AI breakthroughs.

Opportunities to join a company at this stage don't come around often.