3 months ago
Base Salary
$215k - $254k/yr
Responsibilities
- Design, develop, and maintain large-scale data ingestion, storage, and querying systems for AI/ML experiment tracking and analytics.
- Architect and optimize distributed systems and backend services across petabyte-scale datasets.
- Implement and enhance customer-facing APIs using Go, Python, and TypeScript.
- Build, deploy, and operate services on Kubernetes-based infrastructure using Terraform and major cloud platforms.
- Diagnose and resolve production issues involving distributed systems, data pipelines, and storage or query performance.
- Collaborate with product, revenue, and engineering teams to define requirements, design architectures, and deliver platform capabilities.
- Lead architectural initiatives for metrics and storage infrastructure with secure, reliable, and cost-optimized operation.
- Mentor junior engineers through technical guidance, code reviews, design feedback, and software development best practices.
Requirements
- Bachelor's degree or U.S. or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related STEM field.
- Five years of experience maintaining and deploying Go and Python code in live software systems.
- Five years of experience maintaining and adapting systems using MySQL and Postgres.
- Five years of experience deploying and optimizing distributed systems on GCP, AWS, or Azure.
- Five years of experience building and maintaining systems using Kubernetes and Docker.
- Five years of experience building, deploying, and developing new API features using REST or gRPC.
- Five years of experience maintaining and adapting systems using Kafka or Pub/Sub.
- Applicants must meet applicable U.S. export-control access or authorization requirements.
Benefits
- 100% employer-paid medical, dental, and vision insurance
- 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 (ESPP) participation
- Mental wellness benefits through Spring Health
- Family-forming support through Carrot
- Paid parental leave
- Flexible childcare support through Kinside
- 401(k) with employer match
- Flexible PTO
- Catered lunch at office and data center locations
- Casual work environment
- 100% telecommuting permitted from anywhere in the U.S.
Tech Stack
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.