Solution Specialist, AI Runtime Services

CoreWeave; Bellevue (WA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with employer match

Flexible PTO

Catered lunch in the office

Job summary

CoreWeave is looking for a Solution Specialist for AI Runtime Services in Bellevue, WA. You'll open new market opportunities and drive the adoption of AI workload services. This role demands deep expertise in AI runtime landscapes and a solid understanding of how to craft solutions for diverse customer needs.

CoreWeave values candidates with a strong history of customer engagement in AI infrastructures, aiming to turn groundbreaking technologies into business value. Join us to help shape the AI frontier.

Qualifications

• 10+ years of experience in distributed systems or production AI engineering.
• 5+ years with AI runtime systems in a customer-facing role.
• Deep knowledge of AI workloads and execution isolation.

Responsibilities

• Own commercial and technical strategy for customer wins.
• Drive new business opportunities for kernel scaling.
• Engage directly with enterprise buyers about performance.

Skills

Distributed systems

ML infrastructure

AI runtime systems

Technical sales

Solution consulting

Education

Advanced degree in Computer Science or related field

Tools

Kubernetes

TensorRT-LLM

vLLM

Triton

Job description

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.

What You'll Do

As CoreWeave turns raw GPU capacity into production-grade AI services, it is launching new ways for customers to run, scale, and serve AI workloads, and those new services need a market‑maker. As a Solution Specialist for AI Runtime Services, you open new market opportunities across the execution layer (high-throughput, low-latency model serving through our Inference platform, and secure, isolated execution through Sandboxes) and drive the initial adoption of these offerings with the earliest customers and industries to need them. You channel what you learn into the product roadmap and make the broader sales and solution architecture organization fluent in the value runtime services create for new customers.

About The Role

As a Solution Specialist for AI Runtime Services, you work at the leading edge of how CoreWeave brings new runtime offerings to market. Rather than running an existing motion, you create one: you take newly launched services like Inference and Sandboxes into new accounts and new industries, prove their value with the first wave of customers operationalizing AI at scale, and establish the playbooks sales and solution architects use to repeat those wins. You are the field’s authoritative voice back to engineering, translating what early adopters need around serving frameworks, batching, and execution isolation into the priorities that shape the AI Runtime Services roadmap.

In This Role, You Will

• Own the commercial and technical strategy for net new customer wins in AI runtime infrastructure, where execution performance, deployment flexibility, and operational reliability are the primary buying triggers.
• Drive new business opportunities where inference latency, throughput bottlenecks, workload isolation requirements, or operational complexity are barriers to scaling AI on CoreWeave.
• Develop deep expertise across the AI runtime landscape (model serving architectures, execution scheduling, containerized AI workloads, and secure multi-tenant compute), using CoreWeave's Inference and Sandboxes products as flagship examples of what best-in-class runtime looks like.
• Translate customer requirements around serving frameworks (e.g., vLLM, TensorRT-LLM, TGI), batching strategies, and execution isolation into specific product feedback that shapes the AI Runtime Services roadmap.
• Develop deal structures, technical playbooks, and benchmark narratives that help sales and SA teams accelerate runtime-sensitive opportunities across the full spectrum of AI deployment patterns.
• Engage directly with enterprise and research buyers as the authoritative voice on runtime performance tradeoffs, cost-per-token economics, and the architectural decisions that separate prototype deployments from production-scale AI systems.
• Design the commercial framework for large-scale runtime deployment deals, including throughput modeling, GPU utilization commitments, and SLA structures that support enterprise closings.
• Partner with product and infrastructure teams to maintain a competitive edge on serving efficiency, execution isolation, and operational reliability across active and prospective customer deployments.

Who You Are

• 10+ years of experience in distributed systems, ML infrastructure, or production AI engineering, with a track record of applying that expertise to drive customer outcomes and revenue.
• 5+ years working with AI runtime systems (model serving, inference optimization, containerized workload execution, or real-time ML pipelines) in a customer-facing or deal-shaping capacity.
• Deep working knowledge of how AI workloads execute at runtime: serving frameworks, batching strategies, GPU memory management, and the performance levers that determine throughput and latency at scale (with specific familiarity with products like vLLM, TensorRT-LLM, or Triton).
• Experience with sandboxed and isolated execution environments (microVM architectures, container runtimes, secure multi-tenant scheduling) and how execution isolation requirements shape platform selection decisions.
• Strong understanding of GPU memory hierarchies, model parallelism strategies, and how runtime architecture decisions translate into cost, latency, and scalability outcomes for enterprise customers.
• Familiarity with Kubernetes-native runtime orchestration (autoscaling, scheduling policies, GPU operators) and how it impacts workload portability, operational complexity, and platform stickiness.
• Ability to benchmark, explain, and commercially position runtime performance differences across deployment patterns, instance types, and serving configurations.

Preferred

• Experience driving new business or shaping product strategy in industries with high-throughput AI runtime demands, such as generative AI applications, autonomous systems, financial modeling, or developer platforms.
• Prior background in technical sales, solution consulting, or product management supporting large-scale inference infrastructure or AI platform decisions.
• Deep understanding of cost-per-token economics, inference fleet optimization, and the commercial tradeoffs between on-demand, reserved, and spot GPU capacity for runtime workloads.
• Advanced degree in Computer Science, Machine Learning, or Engineering, or equivalent experience with a demonstrated ability to operate at the intersection of technical architecture and commercial strategy.

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 translating boardroom goals into technical reality: you can explain high-level business strategy and low-level runtime performance tradeoffs in the same meeting.
• You love acting as the bridge: between high-level sales strategy and deep ML infrastructure engineering.
• You are an expert at navigating the room: you have a proven ability to manage complex, multi-stakeholder technical evaluations without losing momentum.

Core Values

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

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 U.S.-based offerings; for roles in other locations, benefits vary and are shared during the hiring process.

• 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

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: [e-mail].

Export Control Compliance

This position requires access to export-controlled information. To conform to U.S. Government export regulations applicable to that information, the 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.