Description
As a Senior Software Engineer II 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.
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.
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
About the role:
- 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
Preferred:
- 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
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best-in-Class Client Experiences
- Achieve More Together
The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
What We Offer
The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.
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
- 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