Senior Comms DSP Engineer

WHAT YOU’LL DO

• Guide DSP engineers in the execution of DSP trade studies and optimization of signal processing and machine learning algorithms for deployment on FPGAs and GPUs.
• Collaborate with a multidisciplinary team of software and hardware engineers to develop software defined radios; and direct DSP team in the engagement with the software & hardware team, including the implementation of DSP techniques into software and firmware and integration activities.
• Design and implement algorithms and techniques for RADAR systems
• Develop Modeling and Simulation (M&S) code for RADAR techniques and data analysis including Hardware-in-the Loop / Software-in-the-loop (HIL/SIL) testing
• Participate in laboratory and field testing of RF systems and techniques
• Participate in the maturation of RF systems into deployable systems and products

REQUIRED QUALIFICATIONS

• 7+ years with a BSEE or related field
• Strong experience with DSP implementation for embedded devices and/or software defined radios.
• Strong knowledge of Python and MATLAB. Experience with CUDA or GPU accelerated frameworks like cuSignal is preferred.
• Experience with embedded devices, including FPGA, Nvidia Jetson, and Software Defined Radios.
• Skilled with Modeling and Simulation of RF systems including Radar and SAR
• Familiar with deep learning algorithms. Experience with ML frameworks such as TensorFlow and PyTorch is a plus.
• Familiar with wireless communication standards (Bluetooth, 3G/4G/5G, Wi-Fi, SINCGARS, MUOS, etc.).
• Excellent at balancing multiple projects at any given time and/or managing a larger team for a larger program.
• Enthusiastic about both working with a team and executing some work individually (depending on program scope).
• Experience with Electronic Warfare systems.
• Some travel required.
• Currently possesses and is able to maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Masters or PhD degree in Electrical, Electronics, Computer Engineering, or related fields
• Defense, national security, or aerospace domain familiarity through industry or education.
• Extensive Digital Signal Processing (DSP) knowledge and experience
• Expertise in Synthetic Aperture Radar (SAR) and/or Inverse SAR (ISAR): Image formation, waveforms, phenomenology, modeling and simulation