Senior Software Engineer, Cluster Orchestration

Core Weave is The Essential Cloud for AI™. Built for pioneers by pioneers, Core Weave 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, Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025.

Learn more at

Core Weave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, Core Weave has operated a growing footprint of data centers covering every region of the US and across Europe. Core Weave was ranked as one of the TIME
100 most influential companies of 2024.

As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you’re someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, Core Weave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry.

Core Weave powers the creation and delivery of the intelligence that drives innovation.

As part of the Cluster Orchestration team, you will play a key role in advancing Core Weave’s orchestration platform including SUNK (Slurm on Kubernetes) and beyond our Kubernetes-native foundation that powers AI training and inference s is an opportunity to help shape one of the most critical layers of the AI cloud: ensuring workloads run seamlessly, reliably, and efficiently across massive GPU clusters.

By building the systems that eliminate infrastructure bottlenecks and create new orchestration capabilities, you will directly empower customers to innovate faster and push the boundaries of what’s possible with AI.

As a Senior Software Engineer I (IC3), you will own multiple services within the orchestration platform. You’ll lead design/code reviews, decompose projects into milestones, and drive measurable improvements in reliability and performance. You’ll define SLIs/SLOs for your services, strengthen operational practices, and mentor IC1/IC2 engineers. Your work will ensure customers see consistent improvements in throughput, latency, and system resilience.

• ~3–5 years of professional software engineering experience building distributed systems or cloud services.
• Strong coding in Go (Python or C++ a plus) with solid CS fundamentals.
• Hands-on experience running Kubernetes at production scale.
• Familiarity with observability stacks (Prometheus, Grafana, Open Telemetry).
• Proven ability to improve service reliability and performance using metrics (P95/P99 latency, throughput, error budgets).

• Familiarity with orchestration and workflow technologies such as Ray, Kubeflow, Kueue, Istio, Knative, or Argo Workflows
• Experience with distributed workloads, GPU-based applications, or ML pipelines.
• Knowledge of scheduling concepts like quota enforcement, pre-emption, and scaling strategies.
• Exposure to reliability practices including SLOs, alarms, and post-incident reviews.

The base salary range for this role is $139,000 to $204,000. 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).

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…