Senior Engineering Manager, AI Inference Platform

CoreWeave; Bellevue (WA); On-site; USD 162,000 - 198,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with employer match

Flexible PTO

Equity awards

Tuition Reimbursement

Job summary

CoreWeave is seeking a Sr. Engineering Manager to lead the core team for the next-generation Inference Platform. You will guide a team of senior and staff engineers building and operating a Kubernetes-native inference platform, focusing on reliability, latency, and cost at scale.

The role demands 8+ years in distributed systems with 3+ years in engineering management, a track record of shipping production services, and strong stakeholder communication across fast-growing teams.

Qualifications

• 8+ years building and operating large-scale distributed systems or cloud services.
• 3+ years of engineering management experience, including managing senior and staff-level engineers.
• Track record owning a production service end to end including availability, latency, capacity, and cost.
• Strong understanding of distributed systems, networked services, and performance under load; able to lead architecture and code review without owning the critical path.

Responsibilities

• Lead a team of senior and staff engineers building and operating CoreWeave's Kubernetes-native inference platform.
• Own platform design, deployment, and operation at production scale.
• Drive performance, cost, and reliability improvements; guide hiring and developer growth.

Skills

Distributed systems

Kubernetes

Engineering leadership

SLI/SLOs and error budgeting

High-scale performance

Hiring and mentoring engineers

Tools

Prometheus

Grafana

OpenTelemetry

Job description

CoreWeave is seeking a Sr. Engineering Manager to lead the core team for the next-generation Inference Platform. You will guide a team of senior and staff engineers building and operating a Kubernetes-native inference platform, focusing on reliability, latency, and cost at scale.

The role demands 8+ years in distributed systems with 3+ years in engineering management, a track record of shipping production services, and strong stakeholder communication across fast-growing teams.