Broadcom Principal Engineer 

United States, California, San Jose 

731776039

As a Software Engineer, you will be responsible for designing and development of the Virtualization infrastructure features for the Ethernet NIC. You will work cross functionally with marketing, architects, silicon development and the QA teams to design, implement, document and test high quality software, drivers and the firmware components.

Responsibilities:

• As a Software Engineer, you will be responsible for the design and development of the features for the Ethernet NIC

• Work closely with the Architecture teams, Silicon Design teams and other Software / Firmware teams to architect, design and implement scalable and high performance applications

• Author and contribute in software design, development, validation, and documentation to deliver high quality, high performance and functionally excellent products.

• Work with the QA team to define high quality test cases, review the tests and support through the release development cycle.

• Work closely with the Customer Support Engineers on any customer field issues and provide timely resolutions\

​Requirements:

• BS in Computer Science/ Electronics & Communications + 12 + years of experience or equivalent or MS + 10 + years of experience

• Overall 8+ years of experience in Linux Systems programming, Linux kernel, Linux Network Drivers, Linux Kernel Networking,

  Virtual Switching and Data center Networking

• Good experience in core virtualization technologies like Hypervisors, VirtIO, Virtual IOMMU, Memory Management.

• Hands on experience in writing SR-IOV based PF and VF drivers

• Excellent programming skills in C, C++ and Python. Proficiency in developing optimised code in both x86 and ARM64compiler toolchains.

• A good understanding of the RDMA protocol is a must have. Hands-on experience working on the RDMA Verbs API (libibverbs, libfabric, UCX), Linux RDMA core drivers, RoCE drivers, and the RoCE firmware development is strongly preferred.

• Understanding and/or hands-on experience with AI collective offloads is a plus.

• Strong analytical, problem solving and debugging skills in a combined Software and Hardware environments

• Excellent written and verbal communication skills,

• Ability to efficiently collaborate with multiple teams across geographically diverse areas.