GPU Runtime Systems Engineer for Secure Kubernetes

CoreWeave; Bellevue (WA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health Insurance

Life Insurance

Disability Insurance

FSA/HSA

Tuition Reimbursement

ESPP

Mental Wellness

Parental Leave

Childcare Support

401(k) Match

Flexible PTO

Catered Lunch

Casual Environment

Innovative Culture

Job summary

CoreWeave is leading the AI cloud, delivering secure, high‑performance GPU and runtime infrastructure for multi‑tenant AI workloads in Bellevue, WA. The role focuses on building sandboxed environments, integrating container runtimes with virtualization, and optimizing latency‑sensitive workloads.

You will design GPU‑aware scheduling, isolation strategies, and cross‑team collaboration to advance Linux internals and GPU drivers, ensuring scalable, secure execution across multi‑tenant platforms.

Qualifications

• 3+ years of experience in systems, platform, infrastructure, or production engineering at scale.
• Strong hands-on Kubernetes and cloud-native architectures experience.
• Experience designing, implementing, or operating secure execution environments.
• Practical experience with lightweight virtualization and sandboxing technologies.
• Experience supporting GPU-accelerated workloads in multi-tenant environments.
• Proficient in Go, C/C++, Rust, Bash with strong Linux internals knowledge.
• Skilled at diagnosing and resolving complex performance, reliability, or isolation issues across containers, VMs, and infrastructure.
• Experienced in profiling, benchmarking, and tuning performance across runtime, virtualization, and GPU stacks.

Responsibilities

• Design and operate secure sandboxed runtime environments for Kubernetes workloads.
• Develop GPU-aware scheduling, isolation, and resources for multi-tenant workloads.
• Optimize container, VM, and I/O performance for GPU workloads.
• Profile, benchmark, and tune 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

Container orchestration

Go

C/C++

Rust

Bash

Linux internals

Performance tuning

GPU scheduling

Sandboxing

Security

Tools

Kata Containers

gVisor

KubeVirt

QEMU

Job description

CoreWeave is leading the AI cloud, delivering secure, high‑performance GPU and runtime infrastructure for multi‑tenant AI workloads in Bellevue, WA. The role focuses on building sandboxed environments, integrating container runtimes with virtualization, and optimizing latency‑sensitive workloads.

You will design GPU‑aware scheduling, isolation strategies, and cross‑team collaboration to advance Linux internals and GPU drivers, ensuring scalable, secure execution across multi‑tenant platforms.