Responsibilities
- Develop and maintain secure, sandboxed execution environments for Kubernetes-hosted applications
- Integrate container runtimes with lightweight virtual machines and virtualization platforms
- Enable and enhance support for GPU-intensive workloads in shared, multi-tenant systems
- Create scheduling and isolation strategies that are optimized for GPU resource awareness
- Improve performance of containerized applications and I/O operations for low-latency requirements
- Design secure systems capable of running untrusted or shared GPU-based workloads
- Support architectural decisions across Linux kernel components, container engines, virtualization layers, and GPU drivers
Work Arrangement
Hybrid
Other
- Complies with the California Consumer Privacy Act for applicants in California
- Committed to equal opportunity employment regardless of race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information
- Provides reasonable accommodations for qualified applicants with disabilities during hiring, unless undue hardship results; contact careers@coreweave.com for assistance
- Applicants must satisfy U.S. export control requirements to access controlled information
