Wireless Software Application Engineer

Employment Type

: Full-Time

Industry

: Miscellaneous



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Wireless Software Application Engineers / Program Managers Requirements: MSEE/MSCS or equivalent 5 +year industry design experience in advanced wireless communication or digital signal processing Previous experience of product development for wireless communication standards/systems such as 3G, 4G/LTE, or WiFi. C/C++ algorithm development experience is highly desireable Familiar with architecture/partition and product definition of modern wireless modem design. 5+ years of wireless software, embedded systems, modem or related consumer electronics product development experience Audio / Video Software Development (MPEG/H.264) Applications Engineering, Customer Support Algorithm Development for communication systems. Design, deploy and manage AV solutions for conference rooms, event spaces and specialty areas. Work closely with the facilities team, architects and project management team to define the scope of AV deployment for new office builds, and design various aspects of the AV experience in the office. Work with systems integrators to deploy and integrate the AV technology across all meeting spaces. Create and maintain documentation on designs, standards and project SOWs Create and provide AV related training sessions to employees. Deploy monitoring tools and practices to effectively measure performance of AV technologies. Act as escalation support and triage for AV issues and outages. Set up and support company wide meetings, and large all hands team meetings. Expert level knowledge and experience of cloud based video platforms Experience with Audio DSPs and USB peripherals and control systems as well as PTZ cameras, switchers and mixers. Experience with video streaming platforms such as Livestream Familiarity with networking technologies such as DHCP, switching et Experience with VoIP and Unified communications platforms Implement high-level modem algorithms in C/C++ simulation platforms and perform design tradeoff and optimization in terms of performance, complexity and power consumption.

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