Sr. Software engineer

Role & responsibilities

• Develop and support software for Cavium’s LiquidIO Network adapters.
• Participate in host driver development for Linux and firmware development for NIC.
• Contribute to performance and/or feature enhancements of the existing software package (including various networking stacks)
• Work as part of a dynamic software team on various Cavium products.
• Support Cavium’s customer in development of customized solution using Cavium’s products.
• Software development work will include learning of Cavium hardware products, protocol stacks, existing software on those products and other related software tools.
• The development work includes supporting/maintaining existing software and development for new RFCs/protocols.

• 8+ years of experience in linux networking device drivers and network packet processing at L2/L3/L4.
• Excellent C programming skills .
• Strong knowledge of networking protocol stacks (TCP/IP, UDP).
• Experience with Virtualization networking technologies like OVS, NSX & PCIe virtualization (SRIOV) would be a plus.
• Proven experience with solving real-time embedded issues, including threading, optimization, memory management, interrupt handling, etc.
• Experience in troubleshooting, performance analysis, and performance optimization for embedded systems.
• Familiarity with OCTEON/MIPS CPU architecture (desirable but not required)
• Working experience with multi-core/multi-CPU environments.
• Understanding of HW/SW virtualization concepts are highly desirable.
• Must have effective interpersonal, teamwork, and communication skills.
• Excellent communication skills to interface internally and externally with all levels of the organization and to participate in problem solving and quality improvement activities.
• Demonstrates good analysis and problem-solving skills.
• Grounded, detail-oriented, always backs up ideas with facts.
• Must have the ability to define problems, issues and opportunities, analyze data, establish facts, and draw valid conclusions from various datasets.
• Must have the ability to multi-task in a fast paced environment.
• BS/MS 8+ years of related experience; degree discipline to be in: Computer Science, Computer Engineering, or Electrical Engineering