Staff Engineer, Inference Platform for AI Drug Discovery

Isomorphic Labs

Greater London

Hybrid

GBP 120,000 - 150,000

Full time

4 days ago
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Benefits offered by this job

Hybrid work model

Job summary

Isomorphic Labs in London is seeking a Staff Software Engineer (Inference Platform) to lead the reliability and scalability of our foundation AI models and model serving stack. You will build and operate the inference platform, collaborate with research and ML teams, and design roadmaps to mature the platform for high-throughput, low-latency workloads.

The role emphasizes owning core infrastructure decisions, deploying Kubernetes-based workloads on GCP with NVIDIA GPUs, and delivering robust,

Qualifications

  • Experience architecting and managing large-scale AI/ML workloads in production.
  • Experience deploying and managing workloads within Kubernetes.
  • Strong cloud design experience, especially GCP.
  • Familiarity with NVIDIA GPU generations and high-performance compute.
  • Solid programming skills with a reliability-first mindset.

Responsibilities

  • Develop and operate our inference platform, serving fleets of cutting-edge machine learning models to scientific applications.
  • Design strategy and build roadmaps for maturing the platform.
  • Architect and optimize our next-generation inference services. You will solve core scaling limits, ensuring high-throughput performance and feature parity across our model serving stack.
  • Contribute to core technical decisions on tooling and architectural design while partnering with science, product, and operations teams to align infrastructure with biotech R&D cycles.
  • Deliver high-quality and well-tested user-focused features.

Skills

Large-scale AI/ML workloads
Kubernetes orchestration
Google Cloud Platform
NVIDIA GPUs
Reliability-first software

Job description

Isomorphic Labs in London is seeking a Staff Software Engineer (Inference Platform) to lead the reliability and scalability of our foundation AI models and model serving stack. You will build and operate the inference platform, collaborate with research and ML teams, and design roadmaps to mature the platform for high-throughput, low-latency workloads.

The role emphasizes owning core infrastructure decisions, deploying Kubernetes-based workloads on GCP with NVIDIA GPUs, and delivering robust,

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