2 months 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 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.