Compute Efficiency Staff Engineer - Hybrid, London

Isomorphic Labs; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Isomorphic Labs in London is seeking a Staff Software Engineer (Compute Efficiency) to design, deploy, and scale observability systems for a planet-scale AI compute fleet. You will work with in-house ML platforms and researchers to maximize throughput on every paid GPU-hour.

You will partner with ML Infra and analytics teams, drive hardware efficiency, identify bottlenecks, and contribute to reliability and cloud deployments in a hybrid work model.

Qualifications

• Real world experience operating, monitoring, and debugging large-scale AI/ML infrastructure.
• Experience in cloud compute infrastructure design, preferably GCP.
• Strong programming skills.
• Significant experience deploying Kubernetes at scale.
• Familiarity with NVIDIA GPU generations.
• Proven track record building production observability and telemetry stacks.

Responsibilities

• Design, deploy, and scale robust observability systems and telemetry pipelines to monitor fleetwide compute efficiency, hardware health, and workload goodput across distributed clusters.
• Drive hardware efficiency and node reliability across our accelerator fleet, and integrating new hardware to leverage advancements.
• Identify compute waste and efficiency bottlenecks across the fleet, partnering with ML and platform teams to actively optimize accelerator utilization and improve workload goodput.
• Collaborate with teams in the AI org, and work closely with the ML Infrastructure team to identify, instrument, and improve canonical efficiency metrics across both training and inference runs.
• Contribute to the efforts for consistently improving the reliability of our ML runs.
• Operate, maintain, and harden research, development, and production cloud infrastructure and cluster deployments.
• Partner and collaborate with a diverse set of teams incl. science, research, product, business development and operations.
• Contribute to core technical decisions (e.g. choice of tooling, infrastructure, and architectural design)

Skills

AI/ML infra

GCP experience

Programming

Kubernetes at scale

NVIDIA GPUs

Observability/Telemetry

Job description

Isomorphic Labs in London is seeking a Staff Software Engineer (Compute Efficiency) to design, deploy, and scale observability systems for a planet-scale AI compute fleet. You will work with in-house ML platforms and researchers to maximize throughput on every paid GPU-hour.

You will partner with ML Infra and analytics teams, drive hardware efficiency, identify bottlenecks, and contribute to reliability and cloud deployments in a hybrid work model.