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CoreWeave

Rents GPU cloud computing for AI developers

Senior Software Engineer 2 - Sandboxes & Virtualization

Systems Software EngineeringUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • At least 3 years of experience in systems, platform, infrastructure, or production engineering at scale.
  • 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, such as container runtimes, sandboxed workloads, or virtualized systems.
  • Practical experience with lightweight virtualization and sandboxing technologies such as Kata Containers, gVisor, KubeVirt, or QEMU.
  • Experience supporting GPU-accelerated workloads in multi-tenant environments, including GPU scheduling, isolation, device passthrough, mediated devices, or virtualization.
  • Proficiency in Go and strong knowledge of Linux internals.
  • Skill in diagnosing and resolving complex performance, reliability, or isolation issues across containers, virtual machines, and infrastructure.
  • Experience 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, virtual machine, 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.

Desired Qualifications

  • Experience building systems for safely executing untrusted or sensitive workloads in shared environments.
  • Familiarity with GPU drivers and low-level virtualization or I/O optimization techniques.
  • Experience defining threat models and implementing runtime security policies in multi-tenant systems.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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