GPU Runtime & Sandbox Systems Engineer

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 generous employer match

Flexible PTO

Tuition Reimbursement

Employee Stock Purchase Program (ESPP)

Paid Parental Leave

Catered lunches

Job summary

CoreWeave is seeking a GPU & Runtime Systems Engineer to design, build, and evolve sandboxed runtime environments for Kubernetes workloads, focusing on runtime isolation, performance, and security.

You will integrate container runtimes, lightweight VMs, and virtualization technologies to support GPU-accelerated workloads in multi-tenant environments, with emphasis on scheduling, I/O performance, and Linux internals.

Qualifications

• 3+ years of experience in systems, platform, infrastructure, or production engineering at scale.
• Strong hands-on experience with Kubernetes, container orchestration, 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 systems-oriented programming (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

Container orchestration

Go

Linux internals

Performance troubleshooting

Tools

Kata Containers

gVisor

KubeVirt

QEMU

Job description

CoreWeave is seeking a GPU & Runtime Systems Engineer to design, build, and evolve sandboxed runtime environments for Kubernetes workloads, focusing on runtime isolation, performance, and security.

You will integrate container runtimes, lightweight VMs, and virtualization technologies to support GPU-accelerated workloads in multi-tenant environments, with emphasis on scheduling, I/O performance, and Linux internals.