Sr. Engineering Manager, Inference

CoreWeave is looking for a Sr. Engineering Manager to lead the core team for our next-generation Inference Platform.

What You’ll Do:

As a Sr. Engineering Manager for the Inference team, you will lead a team of senior and staff engineers building and operating CoreWeave's Kubernetes-native inference platform.

What We're Looking For

• 8+ years of experience 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
• Deep expertise in Kubernetes at production scale, including orchestration, scheduling, and service design
• Strong understanding of distributed systems, networked services, and performance under load; able to lead architecture and code review without owning the critical path
• Experience defining and defending SLIs/SLOs and error budgets, and building the operational practice behind them
• Experience with multi-tenant platforms: isolation, quota, noisy-neighbor mitigation, and fair sharing
• Excellent communication and stakeholder management; able to create clarity in ambiguous or fast-scaling environment.
• Demonstrated track record of growing and promoting engineers, including into senior and staff-level roles
• Experience running performance calibration and making accurate leveling decisions
• Experience managing underperformance directly and fairly, as well as retaining top performers
• Experience building and owning a hiring bar and interview process for senior engineering roles

Platform & Service Expertise

• Experience operating low-latency, high-throughput request-serving systems against strict P95/P99 targets
• Working knowledge of autoscaling, load balancing, admission control, and traffic management at scale
• Experience with capacity planning and demand forecasting for constrained or expensive resources
• Familiarity with GPU-backed workloads and the scheduling and utilization trade-offs they introduce
• Progressive delivery practices canarying, feature gating, safe rollback for always on services

Nice to Have

• Experience operating a customer-facing cloud service or developer platform, including API and control-plane design
• Familiarity with inference-serving stacks such as vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe
• Experience operating multi-region fleets at a cloud provider or hyperscaler
• Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry)
• Experience scaling teams, tooling, and processes in a high-growth environment

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love to build frictionless products for developers
• You’re curious about AI and MLOps tooling
• You’re an expert in building inference systems that scale for production workloads

Why Us?

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:

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $188,000 to $303,000. 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).