Applications Engineer

Salary depends on experience
Posted on 11/03/17
Norwood, MA
Salary depends on experience
Posted on 11/03/17

Position: RF Applications EngineerLocation: Norwood, MAUsing today's technology to test tomorrow's devicesPosition SummaryRF Applications Engineering is chartered to design, provide, and support RF semiconductor test solutions. These test solutions are used in mass production of RF Power Amplifiers, WLAN transceivers, cell phone transceivers, digital satellite tuners, MCU’s with integrated RF transceivers and other RF devices. The test solution consists of semi-custom hardware and software that allows the standard test system to interface to, electrically stimulate and measure the response of the customers' specific semiconductor device while optimizing tradeoffs between test execution speed and accuracy. Test solutions are typically in the DC to 8GHz range and can extend into the millimeter wave range for 5G, 802.11ad, and Automotive Radar.RF Applications Engineers are the super-users of the standard test system.

Therefore these engineers are called on to develop innovative, complex techniques for conducting intricate and multifaceted measurements.The spend time working directly with the customer at the customer site or via remote methods to develop test solutions and release them to production.

They are consulted on and actively participate in internal system development projects, customer development projects and problem resolution. In addition, they will occasionally provide guidance to customers' Device Designers and Test Engineers in the area of Design for Testability. Additional opportunities available to the Applications Engineer include demonstrating their proficiency in specific areas by conducting product demonstrations for customersand authoring and presenting technical articles and papers.

Key Skills

Strong RF Test knowledge, DC to 8GHz.

Strong Analog, Digital and RFcircuit design knowledge

Strong engineering problem solving methodology

Strong communications skills

Software development in a high level programming languagesuch as C++

Working knowledge of digital signal processing (DSP) methods

Familiarity with the application of statistical analysis techniques

Exposure to LINUX workstations and associated software applications preferred

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