5 months ago
Base Salary
$143k - $210k/yr
Responsibilities
- Own the technical relationship with existing financial services customers across CoreWeave’s infrastructure, Models, Weave, observability, and inference platform.
- Deepen platform adoption, identify and drive expansion opportunities, and strengthen relationships with technical stakeholders.
- Advise customers on model development, research velocity, evaluation, production deployment, governance, performance, reliability, and infrastructure efficiency.
- Help customers scale AI workloads in production and resolve technical blockers and business-critical needs.
- Partner with Account Managers on commercial activities, Specialist Field Engineers on domain expertise, and customer teams on technical success.
- Represent financial services customer needs internally and surface product feedback to Product and Engineering.
- Build demos or proofs of concept and develop solutions for novel customer problems.
Requirements
- At least 4 years of relevant experience in solutions engineering, AI-oriented solutions consulting, or technical field engineering.
- Proficiency in Python.
- Hands-on experience training, fine-tuning, evaluating, and deploying deep learning models, including modern LLM architectures.
- Experience designing and deploying production LLM-powered applications for customer use cases.
- Experience working with financial services customers such as quantitative trading firms, hedge funds, asset managers, banks, or other enterprise finance organizations.
- Familiarity with running AI workloads on at least one major cloud platform: AWS, GCP, or Azure.
- Ability to solve complex and novel technical problems with enterprise customers.
- Excellent written, verbal communication, and presentation skills for engineering and executive audiences.
- Preferred familiarity with cloud infrastructure for AI workloads, GPU compute, high-performance networking, and storage.
- Preferred familiarity with PyTorch and modern LLM tools including vLLM, LangChain, or LlamaIndex.
- Preferred experience using Slurm or Kubernetes for ML job orchestration.
- Preferred experience with hyperparameter optimization and experiment tracking tools.
- Preferred background in ML Engineering, AI Engineering, MLOps, or LLMOps.
- Preferred technical pre-sales or solutions architecture experience focused on net-new logos or greenfield accounts.
- Preferred familiarity with NVIDIA H100, NVIDIA H200, NVIDIA B200, InfiniBand networking, and parallel file systems.
Benefits
- Medical, dental, and vision insurance fully paid by CoreWeave for US-based offerings
- Company-paid life insurance and voluntary supplemental life insurance
- Short- and long-term disability insurance
- Flexible Spending Account and Health Savings Account
- Tuition reimbursement
- Employee Stock Purchase Program participation
- Mental wellness benefits through Spring Health
- Family-forming support through Carrot
- Paid parental leave
- Flexible, full-service childcare support through Kinside
- 401(k) with employer match
- Flexible paid time off
- Catered lunch at office and data center locations
- Casual work environment
- US-based benefits vary for roles in other locations and are shared during the hiring process
- The position requires access to export-controlled information and applicable U.S. export-control eligibility
Categories
Solutions Engineering
About CoreWeave
CoreWeave provides a GPU-accelerated cloud for AI training and inference, VFX, and rendering, with bare-metal instances, Kubernetes orchestration, and managed services to scale workloads. It sells on-demand and reserved capacity to AI labs, startups, and enterprises, and offers SaaS tools and hands-on support for deployment. Founded in 2017 and headquartered in New York, it is publicly traded on Nasdaq under the ticker CRWV.