Senior Software Engineer II- AI Workload Orchestration
About The Position
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. As a Senior Software Engineer II (IC4) on the AI Workload Orchestration Platform team, you will help build and operate CoreWeave’s Kubernetes-native platform for admitting, scheduling, and operating AI workloads at scale. This platform integrates multiple orchestration and scheduling frameworks such as Kueue, Volcano, and Ray to support modern AI training and inference workflows. It complements SUNK (Slurm on Kubernetes) by providing a Kubernetes-first, cloud-native orchestration layer with deep platform integration. 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.
Requirements
- 5–8 years of professional software engineering experience in distributed systems, cloud infrastructure, or platform engineering
- Strong experience building production systems in Go (Python or C++ a plus)
- Solid understanding of Kubernetes fundamentals, APIs, controllers, and operating services in production
- Experience working with scheduling, resource management, or quota-based systems
- Proven ability to improve system reliability and performance using data and operational metrics
- Comfortable owning services in production and participating in on-call rotations
Nice To Haves
- Experience with Kubernetes-native orchestration frameworks such as Kueue, Volcano, Ray, Kubeflow, or Argo Workflows
- Familiarity with GPU-based workloads, ML training, or inference pipelines
- Knowledge of scheduling concepts such as quota enforcement, pre-emption, and backfilling
- Experience with reliability practices including SLOs, alerting, and incident response
- Exposure to AI infrastructure, HPC, or large-scale distributed compute environments
Responsibilities
- Design, build, and operate Kubernetes-native services for AI workload orchestration and scheduling
- Own one or more platform components end-to-end, including design, implementation, testing, and on-call support
- Improve scheduling latency, cluster utilization, and workload reliability through metrics-driven engineering
- Contribute to architectural discussions across services and influence design decisions within the platform
- Work closely with adjacent teams (CKS, infrastructure, managed inference) to ensure clean interfaces and integrations
- Mentor junior engineers and raise the quality bar for code, design, and operations
Benefits
- Medical, dental, and vision insurance - 100% paid for by CoreWeave
- Company-paid Life Insurance
- Voluntary supplemental life insurance
- Short and long-term disability insurance
- Flexible Spending Account
- Health Savings Account
- Tuition Reimbursement
- Ability to Participate in Employee Stock Purchase Program (ESPP)
- Mental Wellness Benefits through Spring Health
- Family-Forming support provided by Carrot
- Paid Parental Leave
- Flexible, full-service childcare support with Kinside
- 401(k) with a generous employer match
- Flexible PTO
- Catered lunch each day in our office and data center locations
- A casual work environment
- A work culture focused on innovative disruption
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
