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CoreWeave is seeking engineers to design secure, high-performance sandboxed runtimes for multi-tenant Kubernetes platforms and optimize GPU-aware scheduling and I/O for AI workloads.
The role requires 3+ years in systems or infra engineering with strong Kubernetes skills and experience in Go, C++, or Rust, plus hands-on work with lightweight virtualization and GPU workloads.
Design and implement secure, high-performance sandboxed runtime environments for multi-tenant Kubernetes platforms. Optimize GPU-aware scheduling, isolation, and I/O performance for AI-driven workloads.
Requirements: Requires 3+ years of experience in systems or infrastructure engineering with strong proficiency in Kubernetes and systems programming languages like Go, C++, or Rust. Must have practical experience with lightweight virtualization technologies and GPU-accelerated workloads.
Key Skills: Kubernetes, Container Runtimes, Virtualization, GPU Infrastructure, Linux Internals, Go, C/C++, Rust, Bash, Kata Containers, gVisor, KubeVirt, QEMU, Performance Tuning, Multi-tenancy, Systems Engineering
Benefits: Medical Insurance, Dental Insurance, Vision Insurance, Company-paid Life Insurance, Voluntary Supplemental Life Insurance, Short-term Disability Insurance, Long-term Disability Insurance, Flexible Spending Account, Health Savings Account, Tuition Reimbursement, Employee Stock Purchase Program (ESPP), Mental Wellness Benefits, Family-Forming Support, Paid Parental Leave, Childcare Support, 401(k) with Employer Match, Flexible PTO, Catered Lunch