Platform Engineer
CuspAIVisit CuspAI website
CuspAI is an AI-for-science company developing an AI platform for targeted materials discovery.
Series BRecently funded
Cambridge, United Kingdom
Funding history
About CuspAI
CuspAI combines generative AI, high-fidelity simulation, synthesis planning, and laboratory validation to develop novel materials for applications including semiconductors, energy, water purification, and climate technology.
Skills
About the Role
You will design and operate a Kubernetes-based ML platform for training, evaluating, and deploying models. You will build MLOps tooling, distributed-training infrastructure, deployment automation, reliability systems, configuration management, and cost-optimization tools.
Requirements
- Deep experience building and maintaining ML infrastructure
- Experience with Kubernetes and multi-cloud ML workloads across AWS, GCP, and neoclouds
- Strong Python and/or Go programming skills
- Expert Infrastructure as Code skills with Terraform, Helm, Kapitan, and GitOps
- Experience operating distributed ML platforms for JAX and/or PyTorch
- Experience managing GPU clusters and performance optimization
- Software engineering or regular coding experience
Responsibilities
- Design and implement a cloud-native Kubernetes ML platform
- Implement and maintain CI/CD pipelines, model registries, experiment tracking, and deployment automation
- Build distributed ML training infrastructure across GPUs
- Ensure platform uptime through monitoring, alerting, and automated recovery
- Manage multi-environment Kubernetes configurations with Kapitan
- Optimize cloud resource use and computational throughput
- Create tools that simplify experiment-to-production workflows
- Collaborate on infrastructure requirements
Benefits
- Equity
- 28 days holiday in DE, NL, and UK or 21 days holiday in JP, SG, and US, plus local public holidays
- 26 weeks paid parental leave for primary caregivers and 12 weeks for secondary caregivers
- Professional development budget