Entry Level- DSP Engineer (Onsite- Aberdeen, Maryland)
About the role
Fairwinds Technologies is continuously looking for curious, hands-on early-career engineers who want to apply digital signal processing theory to real radios, RF systems, embedded platforms, and operationally relevant test environments. In this role, you may support either our xG or Mixed Signal product development team, or technical-services contracts aligned with those product areas. You will work alongside experienced DSP, FPGA, RF, software, systems, and test engineers to model, implement, integrate, measure, and improve signal-processing capabilities. Assignments may span internal product development and customer-funded research, integration, test, demonstration, and field-support activities. The position is designed to build practical engineering depth while giving an early-career engineer exposure to the full lifecycle from algorithm concept through measured performance.
Depending on assignment, you may contribute in one or more of the following areas: xG wireless systems, including 5G, non-terrestrial networking, software-defined radio, tactical communications, radio integration, and performance characterization; Mixed Signal products, including Global Link and EchoPhase-related capabilities, channel emulation, coherent combining, wideband signal processing, and FPGA/DSP hardware interfaces; Waveform analysis, RF frequency translation, channel effects, synchronization, calibration, signal quality, interference, and link-performance assessment; Ruggedized mission modules and edge systems that combine compute, networking, radio, RF, and signal-processing functions; Government-funded R&D and technical-services contracts involving algorithm development, integration, test, documentation, demonstrations, and field support.
What Success Looks Like: First 90 days: learn the assigned product or program, modeling environment, laboratory workflow, signal chain, and performance objectives; complete scoped analysis and test tasks with mentoring. First 6 months: independently build or modify a reference model, analyze measured data, automate a repeatable workflow, and communicate conclusions through clear plots and documentation.