Senior Systems Engineer, Virtualization

What Youll Do:

HAVOCK builds the software stack that bridges AI workloads and bare metal. We own the operating system virtualization runtime and hardware interfaces that allow thousands of GPU servers to securely execute customer workloads at hyperscale.

This team focuses on the execution layer beneath Kubernetes. We build the systems that provide strong workload isolation efficient GPU sharing and high-performance execution across containers and lightweight virtual machines. Our work spans Linux KVM container runtimes GPU drivers and Kubernetes ensuring customers can safely run demanding AI workloads on shared infrastructure without sacrificing performance.

About the role:

As a Senior Software Engineer on HAVOCKs Runtime & Virtualization team youll design and build the execution environment that powers CoreWeaves AI platform. This is fundamentally a Linux systems engineering role where youll work across the Linux kernel KVM/QEMU container runtimes GPU drivers and Kubernetes to solve problems that dont have off-the-shelf solutions.

Youll develop secure sandboxed runtimes for GPU workloads extend virtualization technologies to support new hardware capabilities optimize the interaction between Linux hypervisors and NVIDIA GPUs and build the tooling that helps engineers understand whats happening across the entire software stack.

The work spans multiple abstraction layers. One day you might be debugging a kernel memory-management issue affecting VFIO device passthrough; the next you might be improving container startup latency extending KubeVirt to support new GPU workflows or building eBPF tooling to diagnose production networking and scheduling problems. We value engineers who enjoy understanding how systems behave from the hardware up rather than treating infrastructure as a black box.

Some of what youll work on:

• Design secure execution environments using containerd runc gVisor Kata Containers KubeVirt and KVM/QEMU.
• Build GPU-aware runtime infrastructure supporting VFIO Kata NVIDIA GPU Operator and PCIe passthrough for multi-tenant AI workloads.
• Improve Linux kernel and hypervisor performance through optimization of scheduling memory management I/O NUMA locality and virtualization primitives.
• Debug complex interactions across Linux KVM GPU drivers firmware and Kubernetes when workloads dont behave as expected.
• Develop observability and debugging tooling using eBPF perf tracepoints and kernel tracing infrastructure.
• Improve container and VM startup performance resource isolation and runtime efficiency for latency-sensitive AI inference and training workloads.
• Extend virtualization infrastructure supporting virtio devices IOMMU SR-IOV mediated devices nested virtualization and hardware passthrough.
• Profile production systems and build performance analysis tooling to identify bottlenecks across kernels hypervisors container runtimes storage networking and GPUs.
• Collaborate with security platform networking and GPU infrastructure teams to define the next generation of runtime isolation and workload execution.

Who You Are:

• 5 years building production systems software platform infrastructure virtualization or Linux-based distributed systems.
• Strong Linux systems knowledge including namespaces cgroups scheduling memory management filesystems networking and process lifecycle.
• Experience with virtualization technologies such as KVM QEMU VFIO virtio Kata Containers KubeVirt Firecracker or gVisor.
• Experience building or operating Kubernetes platforms and container runtimes at scale.
• Strong systems programming skills in Go Rust C/C or a combination thereof.
• Comfortable debugging production failures that span hardware operating systems container runtimes virtualization and distributed infrastructure.
• Experience profiling and optimizing system performance using tools such as perf eBPF ftrace bpftrace flame graphs or crash analysis.

Preferred:

• Linux kernel development or kernel module experience.
• Experience debugging kernel panics crash dumps memory corruption or driver issues using kdump crash drgn or gdb.
• Familiarity with NVIDIA GPU drivers GPU Operator CDI and GPU virtualization.
• Experience contributing to Linux KVM QEMU Kata Containers gVisor containerd or Kubernetes.
• Understanding of PCIe IOMMU DMA NUMA interrupts and modern server hardware architecture.
• Experience building systems that safely execute untrusted workloads in shared environments.

The base salary range for this role is $182000 to $242000. The starting salary will be determined based on job-related knowledge skills experience and market location. We strive for both market alignment and internal equity when determining addition to base salary our total rewards package includes a discretionary bonus equity awards and a comprehensive benefits program (all based on eligibility).

What We Offer

The range weve posted represents the typical compensation range for this role. To determine actual compensation we review the market rate for each candidate which can include a variety of factors. These include qualifications experience interview performance and location.

In addition to a competitive salary we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations benefits vary and are shared during the hiring process. These include:

• Medical dental and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

California Applicants

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Equal Opportunity & Accommodations

CoreWeave is an equal opportunity employer committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race color religion sex disability age sexual orientation gender identity national origin veteran status or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA) CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process unless such accommodation would cause an undue hardship. If reasonable accommodation is needed please contact: .

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information applicant must either be (A) a U.S. person defined as a (i) U.S. citizen or national (ii) U.S. lawful permanent resident (green card holder) (iii) refugee under 8 U.S.C. 1157 or (iv) asylee under 8 U.S.C. 1158 (B) eligible to access the export controlled information without a required export authorization or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may for legitimate business reasons decline to pursue any export licensing process.