Network Stack Developer

Join our team working with an elite customer, developing cutting-edge AI training/inference server infrastructure silicon. As a Network Stack Developer, you will be developing performant L2/L3 Protocol stack for validating multiple AI silicon under development.

Location: Silicon Valley, CA

Company: QFocus Technologies LLC

Domain: Embedded AI

Join our team working with an elite customer, developing cutting-edge AI training/inference server infrastructure silicon. As a Network Stack Developer, you will be developing performant L2/L3 Protocol stack for validating multiple AI silicon under development.

• Develop, validate and maintain highspeed L2/L3 protocol stacks over NIC drivers in Linux kernel/user mode and other host/device operating systems.
• Implement and optimize L2/L3 protocols, RDMA, and RoCE for high-performance networking applications.
• Collaborate with cross-functional teams to develop, test NIC firmware and protocol stack software, troubleshoot and resolve NIC-related technical issues.
• Develop and maintain test frameworks for NIC performance and functionality testing.

• Proficiency in C, C++ and Python programming languages.
• In-depth knowledge of networking protocols, including TCP/IP, IPv4 and IPv6 and their packet formats.
• Hands-on experience with tools for capturing and analyzing protocol packet exchanges across high-speed interfaces.
• Understanding of high-performance multi-core CPU/GPU clusters and their high-speed interconnect fabric interfaces such as PCIe and Infiniband.
• Working familiarity with Host Channel Adapters (HCAs) or bridges that parse, translate and route data from standard NW stacks into fabric-specific transport logic would be an added advantage.

• Python scripting for test log analysis and NIC behavior triage.
• Experience with machine learning and deep learning frameworks and their underlying NW payload transfer.
• Working experience with latest AI coding copilot-based flows to generate, review, test and release code.
• Hands on experience in developing AI training/inference application would be valuable.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering or a related field with a focus on computer systems or networking.

• At least 6+ years of experience in L2/L3 stack development, using modern NIC device driver APIs including kernel mode and user mode drivers.
• Experience working with high speed cloud data center server stack development.

QFocus Technologies LLC is an Equal Employment Opportunity employer.