Design & implement optimalalgorithms in the cloud by leveraging features offered by existing and new Wi-Fistandards like Wi-Fi 7, culminating in an optimal Wi-Fi network performance.
Determine appropriate Wi-Fi metricsoriginating from both Wi-Fi clients and Wi-Fi Access Points to accuratelyassess & improve Quality of Experience
Determine parameters that can becontrolled on Wi-Fi clients and in the Wi-Fi infrastructure Access Points, thatcan improve performance of Wi-Fi links in complicated environments.
Analyses collected stats, and on thebasis of observations, define an architecture and algorithms for managing Wi-Ficonnections.
Implement the architecture into realtime and offline algorithms, including machine learning and formaloptimization.
Define monitoring methods to show thequality of Wi-Fi networks and its constituents links.
Define statistics and dashboardsallowing service providers to understand the status and quality of connectionsacross their entire network.
What You'll Bring
At least ten years of experience inbuilding IEEE 802.11 WLAN products esp. Wi-Fi 4, Wi-Fi 5, Wi-Fi 6 / 6E.
Knowledge of Wi-Fi 7 features andimprovements over Wi-Fi 6 / 6E.
Experience working on Access Pointproducts at Wi-Fi chipset / SoC firmware, WLAN driver level will bepreferred.
Applied Wi-Fi technologyexperience is a must. Ability to translate and relate Wi-Fi technologyaspects like MU-MIMO, Preamble puncturing etc. to user experiences will berequired.
Working knowledge with Wi-Fi Meshsystems will be preferred.
Extensive experience in measurementprocedures and deep knowledge of Wireless LAN performance parameters
Experience working on WLAN Managementlayer protocols to monitor, control and maintain wireless networks at optimalperformance and user experience, like but not limited to Roaming and Steering.
Deep knowledge of Wi-Fi MAC and Phylayer parameters that impact overall WLAN experience.
Proficiency in data analysis is a must.Experience in machine learning is desirable.
Strong programming skills in SQL andPython required.
BS in Electrical Engineering,Electronics and Communications Engineering, Computer Science, Systems, or DataScience. M.S / PhD in the above faculties will be preferred.
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Staff Engineer • Bengaluru, Karnataka, India
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