2027 Graduate – Wireless Communications Engineer – Wireless Cyber Capabilities

Johns Hopkins Applied Physics Laboratory•Laurel, MD

1d•Onsite

About The Position

This position is for a graduate engineer who wants to become an expert in wireless communications and learn about the latest wireless technologies. The role involves developing engineers to help control the wireless communications environment. The Wireless Cyber Capabilities team focuses on providing the U.S. military and intelligence communities with operational advantages by leveraging software-defined radios, commercial cellular equipment, and machine learning to develop advanced capabilities for research and operational prototypes. Engineers apply cutting-edge research to critical government challenges in Signals Intelligence, Wireless Cyber Access, and Wireless Cybersecurity. As a member of the team, you will be part of a group that leverages wireless communications expertise, software defined radios (SDR), and radio frequency machine learning (RFML) to own the communications environment. You will collaborate with a broad team of wireless communications engineers and software developers to implement wireless communication technology solutions and be exposed to a variety of projects, encouraging exploration of technical focus areas.

Requirements

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related technical degree
Skilled in and/or have knowledge of signals & systems or wireless communication concepts
Skilled in and/or have knowledge of software design patterns in a language such as Python, C/C++, VHDL/Verilog, or MATLAB, etc.
Able to obtain Interim Top Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance.
U.S. citizenship

Nice To Haves

Skilled in and/or have knowledge of wireless communication protocols or systems such as Wi-Fi, Cellular (4G-LTE / 5G-NewRadio / NextG), or SATCOM
Skilled in and/or have knowledge of digital signal processing (DSP) such as Fourier analysis and filtering
Skilled in and/or have knowledge of software defined radio (SDR) frameworks such as GNU Radio
Skilled in and/or have knowledge of machine learning (ML) including frameworks such as PyTorch, TensorFlow

Responsibilities

Leverage wireless communications expertise, software defined radios (SDR), and radio frequency machine learning (RFML) to own the communications environment.
Collaborate with a broad team of wireless communications engineers and software developers to implement wireless communication technology solutions.
Be exposed to a variety of projects and encouraged to explore what technical focus areas interest you.