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Network Stack Developer

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: QFocus Technologies LLC
Full Time position
Listed on 2026-06-07
Job specializations:
  • Software Development
    Software Engineer, DevOps, Python
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: California

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.

Key Responsibilities
  • Develop, validate and maintain high speed 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.
Required Skills
  • 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.
Education
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering or a related field with a focus on computer systems or networking.
Experience
  • 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.

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