GPU-Accelerated Runtime Systems Engineer for Kubernetes

CoreWeave; Sunnyvale (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Company-paid Life Insurance

Tuition Reimbursement

401(k) with generous match

Flexible PTO

Paid Parental Leave

ESPP

Job summary

CoreWeave is hiring a GPU & Runtime Systems Engineer to design, build, and evolve secure sandboxed runtimes for Kubernetes workloads. You will integrate container runtimes, lightweight VMs, and virtualization to support GPU-accelerated workloads in multi-tenant environments.

You will optimize runtime isolation, performance, and security while influencing Linux internals, container runtimes, virtualization layers, and GPU drivers. Join a fast-growing AI-focused cloud platform.

Qualifications

• 3+ years of experience in systems, platform, infrastructure, or production engineering at scale.
• Strong hands-on experience with Kubernetes and cloud-native architectures.
• Experience designing secure execution environments (container runtimes, sandboxed workloads, or virtualized systems).
• Experience with lightweight virtualization and sandboxing technologies like Kata Containers, gVisor, KubeVirt, QEMU.
• Experience supporting GPU-accelerated workloads in multi-tenant environments.

Responsibilities

• Design secure execution environments for containerized and virtualized workloads.
• Build GPU-aware scheduling, isolation, and resource management for multi-tenant workloads.
• Optimize container, VM, and I/O performance across GPU-accelerated workloads.
• Conduct profiling, benchmarking, and performance tuning for runtime, virtualization, and GPU stacks.
• Contribute to architectural decisions across Linux internals, container runtimes, virtualization layers, and GPU drivers.
• Collaborate with security, platform, and infrastructure teams to define runtime isolation and performance standards.

Skills

Kubernetes

Go

C/C++

Rust

Linux internals

Performance tuning

Sandboxing

GPU workloads

Tools

Kata Containers

gVisor

KubeVirt

QEMU

Job description

CoreWeave is hiring a GPU & Runtime Systems Engineer to design, build, and evolve secure sandboxed runtimes for Kubernetes workloads. You will integrate container runtimes, lightweight VMs, and virtualization to support GPU-accelerated workloads in multi-tenant environments.

You will optimize runtime isolation, performance, and security while influencing Linux internals, container runtimes, virtualization layers, and GPU drivers. Join a fast-growing AI-focused cloud platform.