Senior ML Infra Engineer: Kubernetes Training Platform

CoreWeave; Bellevue (WA); On-site; USD 180,000 - 245,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life Insurance

Disability insurance

FAFSA/tuition support

Job summary

CoreWeave in Bellevue, WA is engineering a Kubernetes-native research cluster platform to accelerate AI model training for customers. You will design scalable sandbox infrastructure and ship production-grade ML systems.

Collaborate with AI labs, translate researcher needs into robust system designs and clear technical docs, and own end-to-end installation, testing, and operation of the platform.

Qualifications

• Requires 8-12+ years of experience building distributed systems or ML infrastructure with deep expertise in Kubernetes operators and orchestration.
• Candidates should have a strong understanding of distributed training workflows and the ability to ship production-grade infrastructure.

Responsibilities

• Design and build a Kubernetes-native research cluster platform and sandbox infrastructure to streamline AI model training for customers.
• Collaborate with AI labs to translate researcher needs into scalable system designs and technical documentation.

Skills

Kubernetes

Distributed Systems

ML Infrastructure

Python

Custom Controllers

CRDs

Workload Orchestration

RL Training

Container Runtimes

Slurm

Ray

PyTorch

System Design

Developer Platforms

API Design

Tools

Kubernetes Operators

Open-source tooling

Job description

CoreWeave in Bellevue, WA is engineering a Kubernetes-native research cluster platform to accelerate AI model training for customers. You will design scalable sandbox infrastructure and ship production-grade ML systems.

Collaborate with AI labs, translate researcher needs into robust system designs and clear technical docs, and own end-to-end installation, testing, and operation of the platform.