CoreWeave Logo

CoreWeave

Sr. Engineering Manager, Inference

Reposted 13 Days Ago
In-Office
Bellevue, WA, USA
188K-303K Annually
Senior level
In-Office
Bellevue, WA, USA
188K-303K Annually
Senior level
Lead and grow the engineering team productizing and operating an inference offering. Drive roadmap execution with Product, improve reliability, observability, release and incident processes, integrate platform capabilities, and deliver developer-friendly tooling and application-layer enhancements to scale production ML workloads.
The summary above was generated by AI
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.

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:

  • Be Curious at Your Core
  • Act Like an Owner
  • Empower Employees
  • Deliver Best-in-Class Client Experiences
  • Achieve More Together

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). 

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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:

  • 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

California Applicants

California Consumer Privacy Act 

Equal Opportunity & Accommodations

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: [email protected].

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency.  CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

CoreWeave Bellevue, Washington, USA Office

CoreWeave Bellevue, WA Office

Bellevue, Washington, United States, 98004

Similar Jobs at CoreWeave

3 Days Ago
In-Office
Bellevue, WA, USA
109K-145K Annually
Junior
109K-145K Annually
Junior
Cloud • Information Technology • Machine Learning
Oversee vendor lifecycle operations, including onboarding, tax and banking verification, catalog setup, record maintenance, data cleanup, and process documentation in Coupa. Coordinate with stakeholders, procurement operations, IT, vendors, and offshore resources. Lead day-to-day offshore workloads, enforce service levels and compliance controls, resolve escalations, maintain procedures and workflow documentation, and report operational metrics to procurement leadership.
Top Skills: CoupaP2P PlatformPunch-Out Integrations
4 Days Ago
In-Office
Bellevue, WA, USA
182K-242K Annually
Senior level
182K-242K Annually
Senior level
Cloud • Information Technology • Machine Learning
Lead and develop an infrastructure engineering team responsible for internal Kubernetes platforms and foundational services. Set roadmaps, ownership, operating practices, and success metrics; guide reliable infrastructure and automation; establish testing, observability, SLO, incident response, change management, and on-call practices; resolve cross-team dependencies; and manage hiring, coaching, performance, priorities, and risk communication.
Top Skills: Cloud InfrastructureDistributed SystemsGitopsInfrastructure AutomationKubernetesObservabilityProgressive DeliverySlos
4 Days Ago
In-Office
Bellevue, WA, USA
153K-204K Annually
Senior level
153K-204K Annually
Senior level
Cloud • Information Technology • Machine Learning
Design, build, and operate secure, high-performance sandboxed runtime environments for multi-tenant Kubernetes workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; integrate container runtimes, lightweight virtual machines, and virtualization technologies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, runtime, virtualization, GPU, and security architecture.
Top Skills: BashCC++Container RuntimesDevice PassthroughGoGpu DriversGpu SchedulingGvisorKata ContainersKubernetesKubevirtLightweight VirtualizationLinuxMediated DevicesQemuRustVirtual Machines

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account