Sr. Wi-Fi Systems & Algorithms Engineer

Role Description

We are looking for someone to help design 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 constituent 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

• Master’s degree or foreign equivalent in Electrical Engineering, Electronics and Communications Engineering, Computer Science, Data Science, or related field.

• Three (3) years of experience in the position offered, as a Software Engineer, Systems Engineer, or related occupation.
• 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.

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.