1 year ago

Software Engineer (Compute Infra), London

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Join a hybrid London team building and scaling the compute infra for large-scale AI/ML workloads. You’ll design GPU/TPU accelerator strategies, shape cloud infrastructure with the ML Platform team, and ensure reliable, efficient deployment of models across production and research pipelines, collaborating with science, product, and operations teams.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Focus on the end-to-end GPU/TPU (accelerator) strategy, designing infrastructure, optimizing performance, and integrating new hardware to leverage advancements; regularly build, monitor and manage cluster deployments.
•Support the technical strategy around hardware acquisition and deployment decisions.
•Drive research and efficiency design around the infrastructure up to the point of service to the ML platforms teams.
•Contribute to efforts for consistently improving the reliability of our ML runs.
•Operate and handle research, development, and production cloud infrastructure and systems.

Key Requirements

•Real world experience of large scale AI/ML workloads.
•Experience working in cloud compute infrastructure design, preferably GCP.
•Possess strong programming skills.
•Significant experience working and deploying in Kubernetes.
•Familiarity with the Nvidia GPU generations.

Skills:CollaborationTeamworkCommunicationProblem-solving

Languages:English

Tech Stack:GPUTPUKubernetesGCPNVIDIACloud

Company Brief

Isomorphic Labs

Industry: Biotech

Website

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Isomorphic Labs

1 year ago

Software Engineer (Compute Infra), London

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Focus on the end-to-end GPU/TPU (accelerator) strategy, designing infrastructure, optimizing performance, and integrating new hardware to leverage advancements; regularly build, monitor and manage cluster deployments.
•Support the technical strategy around hardware acquisition and deployment decisions.
•Drive research and efficiency design around the infrastructure up to the point of service to the ML platforms teams.
•Contribute to efforts for consistently improving the reliability of our ML runs.
•Operate and handle research, development, and production cloud infrastructure and systems.

Key Requirements

•Real world experience of large scale AI/ML workloads.
•Experience working in cloud compute infrastructure design, preferably GCP.
•Possess strong programming skills.
•Significant experience working and deploying in Kubernetes.
•Familiarity with the Nvidia GPU generations.

Skills:CollaborationTeamworkCommunicationProblem-solving

Languages:English

Tech Stack:GPUTPUKubernetesGCPNVIDIACloud

Company Brief

Isomorphic Labs

Industry: Biotech

Website