2 hours ago
Base Salary
$153k - $204k/yr
Responsibilities
- Design and implement secure sandboxed execution environments for containerized and virtualized workloads.
- Build GPU-aware scheduling, isolation, and resource management strategies for multi-tenant workloads.
- Optimize container, VM, and I/O performance for GPU-accelerated, latency-sensitive workloads.
- Conduct profiling, benchmarking, and performance tuning across runtime, virtualization, and GPU stacks.
- Contribute to architectural decisions involving Linux internals, container runtimes, virtualization layers, and GPU drivers.
- Collaborate with security, platform, and infrastructure teams to define and implement runtime isolation and performance standards.
Requirements
- 3+ years of experience in systems, platform, infrastructure, or production engineering at scale.
- Strong hands-on experience with Kubernetes, container orchestration, cloud-native architectures, controllers, operators, or scheduling extensions.
- Experience designing, implementing, or operating secure execution environments, container runtimes, sandboxed workloads, or virtualized systems.
- Practical experience with lightweight virtualization and sandboxing technologies such as Kata Containers, gVisor, KubeVirt, or QEMU.
- Experience supporting GPU-accelerated workloads in multi-tenant environments, including GPU scheduling, isolation, device passthrough, mediated devices, or virtualization.
- Proficiency in systems-oriented programming with Go, C/C++, Rust, or Bash, plus strong Linux internals knowledge.
- Ability to diagnose and resolve complex performance, reliability, or isolation issues across containers, VMs, and infrastructure.
- Experience profiling, benchmarking, and tuning performance across runtime, virtualization, and GPU stacks.
- Preferred experience safely executing untrusted or sensitive workloads in shared environments, working with GPU drivers and low-level virtualization or I/O optimization, and defining threat models or runtime security policies.
Benefits
- Base benefits include medical, dental, and vision insurance fully paid by CoreWeave, company-paid life insurance, disability insurance, flexible spending and health savings accounts, tuition reimbursement, ESPP participation, mental wellness benefits, family-forming support, paid parental leave, childcare support, and a 401(k) with employer match.
- Flexible PTO and a casual work environment are provided.
- Catered lunch is available each day in office and data center locations.
- The role is a US-based full-time position; benefits for other locations vary and are shared during hiring.
- The company offers opportunities for growth, collaboration, and innovative work in a hyper-growth environment.
About CoreWeave
CoreWeave is the Essential Cloud for AI. CoreWeave is a cloud purpose-built for scaling, supporting, and accelerating GenAI. We’re a comprehensive platform and strategic partner designed to tackle today—and tomorrow’s—challenges of deploying AI at scale. We manage the complexities of AI growth to make supercomputing accessible and push the limits of what’s possible. Our teams create modern solutions to support modern technology. Get the premier choice for working with GenAI workloads.
