VP of Product, Research and Training Infrastructure

Mission

As Core Weave continues to solidify its position as the Essential Cloud for AI, we are seeking a visionary VP of Research Training Infrastructure. This executive leader will own the product strategy and engineering execution for the services that power the most ambitious AI research labs in the world. You will bridge the gap between “the metal” and the researcher, delivering a seamless, high‑performance environment where frontier models are born.

You will lead the product strategy of our Research Training Stack
, focusing on the specialized orchestration, evaluation, and iteration tools required for massive‑scale pre‑training and post‑training. This is a mission‑critical role at the intersection of high‑performance computing (HPC) and cloud‑native agility.

• Frontier Orchestration: Oversee the evolution of SUNK (Slurm on Kubernetes) to provide researchers with deterministic, bare‑metal performance through a cloud‑native interface.
• Holistic Training Services: Beyond Slurm, drive the development of next‑generation orchestrators and automated training‑based evaluation frameworks that ensure model quality throughout the lifecycle.
• Post‑Training Excellence: Build the infrastructure required for sophisticated Reinforcement Learning (RL) and RLHF pipelines, enabling labs to refine foundation models with maximum efficiency.
• Customer Advocacy: Act as the primary technical partner for lead researchers at global AI labs, translating their “future‑state” requirements into actionable product roadmaps.

• Proven Leadership: 15+ years of experience in engineering leadership, with at least 5+ years managing large‑scale infrastructure at a top‑tier research lab or an AI‑native cloud provider.
• Domain Expertise: Deep, hands‑on knowledge of Slurm, Kubernetes, and the specific networking requirements (Infini Band/RDMA) for distributed training clusters.
• Research Mindset: You likely come from a background supporting frontier model research (pre‑training and post‑training) and understand the “pain points” of a research scientist.
• Scaling
  
  Experience:
  
  A track record of delivering mission‑critical services on multi‑thousand GPU clusters (H100/Blackwell/Rubin architectures).
• Strategic Vision: Ability to define “what’s next” in the AI stack, from automated RL loops to specialized sandbox environments.

The base salary range for this role is $233,000 to $341,000. The starting salary will be determined based on job‑related knowledge, skills, experience, and market location. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

• Medical, dental, and vision insurance – 100% paid for by Core Weave
• Company‑paid Life Insurance
• Voluntary supplemental life insurance
• Short and long‑term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Participation 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

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.

Core Weave 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…