Infrastructure Engineer

The role

The Infrastructure Engineer will own and evolve multi-cluster GPU infrastructure. You will build developer productivity layers, improve reliability through automation, and guide compute spending decisions.

What you will do

• Own and evolve multi-cluster GPU infrastructure
• Drive architecture, automated provisioning, workload scheduling, reliability, cost optimization, and capacity planning
• Build the developer productivity layer including CI/CD pipelines, automated testing, and internal tooling
• Improve infrastructure reliability through monitoring, observability, infrastructure as code, and automation
• Help guide compute spending decisions

Required qualifications

• 3+ years building and operating production infrastructure at scale, ideally involving compute clusters, distributed training systems, or HPC
• Hands-on experience with cluster management and workload orchestration systems such as Slurm, Kubernetes, or similar technologies
• Experience designing and maintaining CI/CD pipelines, automated testing, and reliable build and deployment workflows
• Strong systems engineering fundamentals: Linux, networking, storage, and distributed systems
• Strong Python skills
• Familiarity with training to profile a run and tell whether the bottleneck is data loading, communication, or compute
• Track record of making infrastructure decisions that measurably improved reliability, developer productivity, or cost efficiency
• Strong AI tooling skills using Claude Code, Cursor, or similar

Nice to have

• Familiarity with GPU infrastructure, PyTorch, GPU profiling, and distributed training
• Experience operating at tens-of-millions-scale compute spend
• Multi-cloud or hybrid HPC/cloud infrastructure experience
• Experience scaling from single cluster to multi-cluster orchestration
• Background building experiment tracking, model registries, or ML pipeline tooling

About the company

prior-labs is an independent frontier AI lab backed by SAP. They pioneer tabular foundation models.