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.
We are a group of passionate and experienced technology professionals working together with a singular focus to delight our customers by delivering quantifiable value and becoming a natural extension of your team!
ops@QFocustech.com
+1-858-208-3015