Kubernetes AI Orchestration Platform Engineer

CoreWeave; Bellevue (WA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life Insurance

Supplemental life insurance

Disability insurance

Flexible Spending Account

Health Savings Account

Tuition Reimbursement

ESPP

Mental Wellness Benefits

Family-Forming support

Parental Leave

Childcare support

401(k)

Flexible PTO

Catered lunch

Job summary

CoreWeave is seeking an experienced software engineer to design, build, and operate Kubernetes-native services for AI workload orchestration and scheduling. The role focuses on owning platform components end-to-end to improve scheduling latency, cluster utilization, and system reliability.

The candidate should have 5–8 years in distributed systems or cloud infrastructure, with strong proficiency in Go and Kubernetes, and a Bachelor's degree in Computer Science or related field.

Qualifications

• Requires 5-8 years of professional software engineering experience in distributed systems or cloud infrastructure.
• Bachelor's degree in Computer Science or a related technical field is required.

Responsibilities

• Design, build, and operate Kubernetes-native services for AI workload orchestration and scheduling.
• Own platform components end-to-end while improving scheduling latency, cluster utilization, and system reliability.

Skills

Go

Kubernetes

Distributed Systems

Cloud Infrastructure

Platform Engineering

AI Workload Orchestration

Scheduling

Resource Management

Python

C++

Kueue

Volcano

Ray

Kubeflow

Argo Workflows

GPU Workloads

Education

Bachelor's degree in Computer Science or related field

Job description

CoreWeave is seeking an experienced software engineer to design, build, and operate Kubernetes-native services for AI workload orchestration and scheduling. The role focuses on owning platform components end-to-end to improve scheduling latency, cluster utilization, and system reliability.

The candidate should have 5–8 years in distributed systems or cloud infrastructure, with strong proficiency in Go and Kubernetes, and a Bachelor's degree in Computer Science or related field.