Infrastructure and MLOps Engineer
Graphcore(2 days ago)
About this role
Join Graphcore's Software Infrastructure team to help develop tools and services that support AI research and engineering. The role involves managing and scaling infrastructure to enhance build, test, and deployment processes for machine learning software, working with high-performance computing platforms and cloud technologies.
Required Skills
- Kubernetes
- Docker
- Python
- Terraform
- ML Orchestration
- Observability
- Grafana
- CI/CD
- Cloud Services
- Linux
About Graphcore
graphcore.aiGraphcore is a semiconductor and systems company that designs the Intelligence Processing Unit (IPU), a processor architecture purpose-built for machine intelligence to accelerate machine learning and AI workloads. It offers IPU-based servers and cloud access together with the Poplar software stack, compilers and developer tools to run training and inference at scale and integrate with common ML frameworks. Graphcore’s platform targets researchers and enterprises that need higher performance, efficiency and scalability for large models and intelligent applications across cloud and on‑prem deployments.
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