Senior GPU & Runtime Systems Engineer (Kubernetes & Linux)

CoreWeave; Bellevue (WA); On-site; USD 153,000 - 204,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Equity awards

Discretionary bonus

401(k) with employer match

Tuition Reimbursement

Paid Parental Leave

Flexible PTO

ESPP

Life Insurance

Job summary

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

Day-to-day, you’ll optimize performance, isolation, and I/O, influence Linux internals and GPU drivers, and collaborate across security, platform, and infrastructure teams to meet

Qualifications

• 3+ years of experience in systems, platform, infrastructure, or production engineering at scale.
• Strong hands-on experience with Kubernetes and cloud-native architectures, including controllers, operators, or scheduling extensions.
• Experience designing, implementing, or operating secure execution environments (container runtimes, sandboxed workloads, or virtualized systems).
• Proficiency with lightweight virtualization and sandboxing technologies (e.g., Kata Containers, gVisor, KubeVirt, QEMU).
• Experience supporting GPU-accelerated workloads in multi-tenant environments (GPU scheduling, isolation, device passthrough, mediated devices, virtualization).

Responsibilities

• Design and implement secure 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 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 and implement runtime isolation and performance standards.

Skills

Kubernetes

Container runtimes

Go

C/C++

Rust

Linux internals

Performance profiling

Virtualization

Sandboxing

Go, C/C++, Rust, Bash

Tools

Kata Containers

gVisor

KubeVirt

QEMU

Job description

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

Day-to-day, you’ll optimize performance, isolation, and I/O, influence Linux internals and GPU drivers, and collaborate across security, platform, and infrastructure teams to meet