Software Engineer (Compute Platform), London
Core
Designing and optimizing large-scale GPU/TPU infrastructure to support frontier AI models for drug discovery and rational drug design.
Role type
Senior Infrastructure Engineer (Compute Platform)
Builds
Scalable GPU/TPU clusters and cloud infrastructure for ML workloads
Domain
Biotech / AI Infrastructure / Cloud Computing
Deliverable
infrastructure
Required skills
Large-scale AI/ML workload experience, Cloud compute infrastructure design (GCP), Kubernetes deployment, Programming, Nvidia GPU familiarity
Preferred skills
ML SWE or Infrastructure SRE background, Project leadership, Google TPU familiarity, Workload scheduling, ML efficiency research, Hardware benchmarking
Technologies
GCP, Kubernetes, Nvidia GPUs, Google TPUs
Responsibilities
Design end-to-end GPU/TPU strategy and integrate new hardware, Support technical strategy for hardware acquisition and deployment, Drive research and efficiency design for infrastructure, Improve reliability of ML runs, Operate and manage production cloud infrastructure, Partner with science, research, product, and business teams, Contribute to core technical decisions on tooling and architecture
Seniority
Senior, hands-on IC