Kubernetes AI Orchestration Platform Engineer

CoreWeave

Bellevue (WA)

On-site

USD 180,000 - 260,000

Full time

2 days ago
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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.

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