Senior Software Engineer, Applied Training Platform

CoreWeave; Bellevue (WA); On-site; USD 182,000 - 242,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Life Insurance

Disability Insurance

FSA

HSA

Tuition Reimbursement

ESPP

Mental Wellness

Family-forming support

Parental Leave

Childcare support

401(k) match

Flexible PTO

Catered lunch

Casual work environment

Innovative disruption culture

Job summary

CoreWeave is seeking an experienced senior contributor to shape the Applied Training platform for large AI workloads. You will craft a complete research cluster experience, including CLI, job configuration, and Kubernetes operators, while enabling RL training runs at scale in sandbox environments.

You will collaborate with customers and internal teams to unblock research workflows, document OSS training frameworks, and drive production-ready infrastructure across compute, storage, and networking

Qualifications

• 8–12+ years building distributed systems, ML infrastructure, or developer platforms
• Real Kubernetes experience: custom controllers, operators, scheduling, CRDs, workload orchestration at scale
• Strong communicator who can work with customers and translate researcher complaints into system designs

Responsibilities

• Contribute to the roadmap for Applied Training
• Work directly with customers and internal teams
• Design and build a complete research cluster experience (CLI, job config, Kubernetes operators)
• Own the Python SDK for sandbox infrastructure and enable RL training runs at scale
• Write documentation for running popular OSS training frameworks on CoreWeave
• Collaborate with infrastructure teams and customers to apply their learned patterns to CoreWeave builds

Skills

Distributed systems

ML infrastructure

Developer platforms

Kubernetes

Custom controllers & operators

Scheduling at scale

Customer communication

Tools

Kubernetes

Slurm

Ray

PyTorch

Container runtimes

Job description

CoreWeave is seeking an experienced senior contributor to shape the Applied Training platform for large AI workloads. You will craft a complete research cluster experience, including CLI, job configuration, and Kubernetes operators, while enabling RL training runs at scale in sandbox environments.

You will collaborate with customers and internal teams to unblock research workflows, document OSS training frameworks, and drive production-ready infrastructure across compute, storage, and networking