Senior Software Engineer Ii, Ai Workload Orchestration

CoreWeave Inc

Sunnyvale, CA, US
$165,000 to $242,000; not specified; medical, dent...
Hybrid (with on-site requirements at office locations)
Kubernetes-native services
Kubernetes fundamentals
Distributed systems
CoreWeave Inc is seeking a Senior Software Engineer II to join their AI Workload Orchestration team, focusing on building and operating Kubernetes-native platforms for AI workloads. The ideal candidate will have extensive experience in software engineering, particularly with distributed systems and Kubernetes, while also contributing to system reliability and mentoring junior engineers

Job Summary

  • As a Senior Software Engineer II (IC4) on the AI Workload Orchestration team, you will help build and operate CoreWeave’s Kubernetes-native platform for admitting, scheduling, and operating AI workloads at scale.
  • You will own meaningful components of the platform, drive reliability and performance improvements, and help scale the system as customer demand and workload complexity continue to grow.
  • In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Medical, dental, and vision insurance - 100% paid for by CoreWeave.

Matching Summary

Match Score: 85

CoreWeave Inc is seeking a Senior Software Engineer II to join their AI Workload Orchestration team, focusing on building and operating Kubernetes-native platforms for AI workloads. The ideal candidate will have extensive experience in software engineering, particularly with distributed systems and Kubernetes, while also contributing to system reliability and mentoring junior engineers.

Salary

$165,000 to $242,000; Not specified; Medical, dental, and vision insurance - 100% paid for by CoreWeave

Skills & Requirements

Must-have

  • Kubernetes-native services
  • Kubernetes fundamentals
  • distributed systems
  • cloud infrastructure
  • platform engineering
  • production systems in Go

Nice-to-have

  • Kubernetes-native orchestration frameworks
  • GPU-based workloads
  • ML training or inference pipelines
  • scheduling concepts
  • reliability practices
  • AI infrastructure

Key Requirements

  • 5–8 years of professional software engineering experience
  • Strong experience building production systems in Go
  • Solid understanding of Kubernetes fundamentals
  • Experience working with scheduling, resource management, or quota-based systems
  • Proven ability to improve system reliability and performance
  • Comfortable owning services in production and participating in on-call rotations

Work Rights

Not specified

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