Broadcom VMware Cloud Foundation division (VCF) is modernizing data centers, integrating public clouds, empowering digital workspaces, and transforming cyber security. The VMKernel CPU Resource Management team is responsible for the design, implementation, and architectural direction of the CPU scheduling kernel subsystem, which is central to the operation of the ESXi Operating System. Efficient allocation of CPUs to virtual machines (VMs) is a key differentiator for ESXi, providing a strategic advantage.
Requirements
- Good understanding of kernel-level CPU and NUMA scheduling. Understanding of kernel-level memory management a plus
- Broad understanding of OS virtualization solutions, particularly experience with hypervisors such as ESXi, Hyper-V, KVM, XEN, and others a major plus
- Strong understanding of kernel-level OS architectures such as Linux, Unix, Solaris, BSD-like systems, Windows, embedded real-time Operating Systems
- Extensive kernel-level development experience and expertise with synchronization in preemptive multi-threaded environments
- Experience with Intel x86 CPU architecture and Intel based server architecture. Similar experience and understanding of AMD architecture, a plus
- Excellent analytical, debugging and C programming skills
Responsibilities
- Learn the tools and processes necessary to become a successful VMKernel engineer and will participate in the design and development of novel operating system techniques and algorithms for managing both virtual and real computer hardware.
- Implement advanced kernel-level CPU scheduling-related resource management features, with emphasis on scalability, performance, reliability, and support of new hardware technologies.
- Work with multiple engineering teams to architect, design, implement and deliver new products based on the enterprise-class VCF virtualization platform.
- Take on opportunities to own parts of CPU Scheduling projects and with experience, take on ownership and leading larger parts of projects.
Other
- BS degree in Computer Science or related field and 8+ years of relevant industry experience. Or MS in Computer Science or related field and 6+ years of relevant industry experience. Or PhD and 3+ years of relevant experience
- Strong verbal and written communication skills
- Must have legal authorization to work in the US
