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CoreWeave

Technical Program Manager – Cluster Orchestration & Model Benchmarking

Posted 2 Days Ago
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In-Office
5 Locations
161K-237K Annually
Senior level
In-Office
5 Locations
161K-237K Annually
Senior level
The Technical Program Manager will drive programs for distributed inference systems, model onboarding, and performance optimization, collaborating across teams to improve GPU utilization and model-serving infrastructure.
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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.
About the role

CoreWeave’s AI/ML Platform Services organization is responsible for the orchestration layer that schedules and manages AI workloads across CoreWeave’s GPU-accelerated infrastructure. As a Technical Program Manager focused on orchestration and model benchmarking, you will drive programs that define how large-scale AI workloads are scheduled, executed, and evaluated for performance and cost efficiency.

You’ll partner with engineering, infrastructure, and product teams to evolve CoreWeave’s orchestration systems—including Slurm-on-Kubernetes (SUNK) and future orchestrators—while building robust benchmarking and observability frameworks that help customers and internal teams compare model performance, runtime efficiency, and GPU utilization across environments.

This role is ideal for someone who thrives at the intersection of distributed systems and AI infrastructure, has deep technical fluency in workload orchestration or scheduling, and excels at building the operational structure and visibility required to scale complex, high-throughput systems.

In this role, the TPM will
  • Drive end-to-end program management for cluster orchestration initiatives—spanning SUNK, Kubernetes, and emerging workload schedulers.
  • Lead cross-functional efforts to deliver next-generation cluster orchestration capabilities for distributed AI training and inference workloads.
  • Partner with engineering and product to define roadmaps for cluster utilization, scheduling efficiency, preemption logic, multi-tenant fairness, and workload resilience.
  • Own the execution of model benchmarking programs—establishing frameworks, datasets, and metrics to measure model performance, throughput, latency, and cost across hardware types and orchestration environments.
  • Develop and scale processes for cross-team dependency management, performance testing, and release management — owning external release management for SUNK and other cluster orchestrators, including planning, coordination, and rollout of customer-facing updates.
  • Collaborate with infrastructure and DevOps teams to ensure orchestration systems meet CoreWeave’s reliability and scalability goals.
  • Build program dashboards, success metrics, and feedback loops to improve workload scheduling efficiency, GPU and cluster utilization, and time-to-deployment.
  • Create strong communication channels between AI Platform Engineering, Infrastructure, and Product to align roadmap priorities and deliver predictable, high-impact outcomes.
Minimum Qualifications
  • Bachelor’s degree in a technical field or equivalent experience.
  • 8+ years of technical program management experience in distributed systems, cloud infrastructure, or ML/AI platforms.
  • Proven success leading programs involving large-scale orchestration or scheduling systems (e.g., Kubernetes, Ray, Slurm, Kueue, or proprietary systems).
  • Strong technical fluency in distributed computing, job scheduling, Kubernetes orchestration, and benchmarking methodologies.
  • Demonstrated ability to define success metrics and drive measurable improvements in performance, reliability, or efficiency.
  • Exceptional communication and collaboration skills, with a track record of aligning multiple teams and stakeholders on complex technical initiatives.
Additional Qualifications
  • Experience with model benchmarking frameworks, profiling tools, or distributed test harnesses (e.g., MLPerf, vLLM benchmarks, custom evaluation pipelines).
  • Understanding of GPU types, model parallelism, and distributed training/inference performance trade-offs.
  • Experience designing or managing benchmarking data pipelines and visualization tooling.
  • Background in building operational maturity and visibility within high-growth, multi-team technical organizations.

The base salary range for this role is $161,000 to $237,000. 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

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration

California Consumer Privacy Act - California applicants only

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.

Top Skills

Ai Ml Platform Engineering
Cloud Infrastructure
Cloud-Native Architectures
Container Orchestration
Distributed Systems
Gpu Compute
Grafana
Prometheus
Sglang
Vllm

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