Description
Anduril Industries is seeking a Senior DSP Engineer to join their team. As a Senior DSP Engineer, you will 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. You will 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. You will 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, and participate in the maturation of RF systems into deployable systems and products.
The ideal candidate will have 7+ years of experience 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, 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, 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, and currently possesses and is able to maintain an active U.S. Secret security clearance.
Preferred qualifications include a Master's 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.