Sr. Wi-Fi Systems & Algorithms Engineer

Palo Alto, CA·Posted today

aimlsaaspython

<div class="content-intro">Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale. We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data.  With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.</div>Role Description: We are looking for someone to help hesign and implement optimal algorithms in the cloud by leveraging features offered by existing and new Wi-Fi standards like Wi-Fi 7, culminating in an optimal Wi-Fi network performance. Determine appropriate Wi-Fi metrics originating from both Wi-Fi clients and Wi-Fi Access Points to accurately assess and improve Quality of Experience. Determine parameters that can be controlled on Wi-Fi clients and in the Wi-Fi infrastructure Access Points, that can improve performance of Wi-Fi links in complicated environments. Analyze collected stats, and on the basis of observations, define architecture and algorithms for managing Wi-Fi connections. Implement the architecture into real time and offline algorithms, including machine learning and formal optimization. Define monitoring methods to show the quality of Wi-Fi networks and its constituents links. Define statistics and dashboards allowing service providers to understand the status and quality of connections across their entire network. Telecommuting permitted pursuant to company policy. Salary: $186,056 - $220,000 per year Education Requirements: <ul> <li>Master’s degree or foreign equivalent in Electrical Engineering, Electronics and Communications Engineering, Computer Science, Data Science, or related field.</li> </ul> Experience Requirements: <ul> <li>Three (3) years of experience in the position offered, as a Software Engineer, Systems Engineer, or related occupation.</li> <li>Must have experience with the following: building IEEE 802.11 WLAN products (Wi-Fi 4, Wi-Fi 5, Wi-Fi 6/6E); Wi-Fi Mesh systems; measurement procedures and Wireless LAN performance parameters; working on WLAN Management layer protocols to monitor, control and maintain wireless networks at optimal performance and user experience; Wi-Fi MAC and Phy layer parameters that impact overall WLAN experience; SQL and Python; and Cloud based distributed systems.</li> </ul><div class="content-conclusion">About Plume As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world’s largest such as Comcast, Charter, Liberty Global, and J:COM.  Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume’s software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture.   Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law. </div>

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