Wireless QA Engineer

Hewlett Packard EnterpriseSan Jose, CA
Onsite

About The Position

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Requirements

  • 5+ years of experience in testing wireless devices like Access points, Routers and clients.
  • Strong expertise in Wi-Fi (802.11)
  • Excellent debugging skills
  • Experience in automation using Python and AI-assisted tools (e.g., GitHub Copilot).
  • Strong knowledge of 802.11 (a/b/g/n/ac/ax/be) PHY/MAC and Wi-Fi security (WPA2/WPA3, 802.1X, 11i/k/v/r/w)
  • Solid TCP/IP networking fundamentals
  • Expertise in debugging & root cause analysis (packet, logs, system-level)
  • Hands-on with Wireshark/sniffers/protocol analyzers
  • Experience with RF coexistence testing (Wi-Fi/BLE/Zigbee)
  • Strong Python automation skills with exposure to AI/ML-driven testing & GitHub Copilot
  • Ability to build testbeds and simulate real-world conditions
  • Excellent communication skills

Responsibilities

  • Own end-to-end quality for 802.11 wireless feature testing with a focus on deep debugging, automation, and AI-driven testing.
  • Understand the feature design, architect an elaborate test plan and execute.
  • Perform functional, interoperability, performance, and coexistence testing
  • Conduct deep debugging & RCA across protocol stack (PHY/MAC/network), firmware, and systems
  • Analyze packets, RF traces, and logs using sniffers and analyzers
  • Develop and maintain Python-based automation frameworks
  • Leverage AI tools (e.g., GitHub Copilot) to accelerate test development
  • Apply AI/ML techniques for test generation, anomaly detection, and failure analysis
  • Build and manage scalable lab/test environments
  • Collaborate with cross-functional teams to resolve complex issues
  • Mentor team members and drive quality improvements & best practices

Benefits

  • Health & Wellbeing: comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
  • Personal & Professional Development: specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
  • Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
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