GPU Sandbox & Runtime Engineer for Kubernetes

CoreWeave; Livingston (NJ); On-site; USD 153,000 - 204,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with employer match

Paid Parental Leave

Tuition Reimbursement

Catered lunch in office

Job summary

CoreWeave is seeking a GPU & Runtime Systems Engineer to design and evolve secure sandboxed environments for Kubernetes workloads, integrating container runtimes, lightweight VMs, and virtualization technologies for GPU-accelerated workloads. You will optimize performance and contribute to Linux internals and GPU driver decisions.

You will work with security, platform, and infrastructure teams to ensure runtime isolation, throughput, and reliability across multi-tenant environments, with a focus

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).
• Practical experience with lightweight virtualization and sandboxing technologies (e.g., Kata Containers, gVisor, KubeVirt, QEMU).
• Experience supporting GPU-accelerated workloads in multi-tenant environments, including GPU scheduling, isolation, device passthrough, mediated devices, or virtualization.
• Proficient in Go 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 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

Go

Linux internals

Performance tuning

Container orchestration

Multi-tenant systems

Runtime isolation

Tools

Kata Containers

gVisor

KubeVirt

QEMU

Job description

CoreWeave is seeking a GPU & Runtime Systems Engineer to design and evolve secure sandboxed environments for Kubernetes workloads, integrating container runtimes, lightweight VMs, and virtualization technologies for GPU-accelerated workloads. You will optimize performance and contribute to Linux internals and GPU driver decisions.

You will work with security, platform, and infrastructure teams to ensure runtime isolation, throughput, and reliability across multi-tenant environments, with a focus