Description
Anduril Industries is seeking a highly skilled DSP Engineer to join our team. As a DSP Engineer, you will design, develop, and optimize digital signal processing algorithms and systems for radio direction finding and direction-of-arrival estimation in defense applications.
Key responsibilities include:
- Collaborating with a multidisciplinary team of software and hardware engineers to develop software defined radios;
- Implementing high-performance, real-time signal processing chains on embedded and hardware platforms to support mission-critical sensing capabilities;
- Developing Modeling and Simulation (M&S) code for RADAR techniques and data analysis including Hardware-in-the Loop / Software-in-the-loop (HIL/SIL) testing;
- Participating in laboratory and field testing of RF systems and techniques;
- Participating in the maturation of RF systems into deployable systems and products.
Required qualifications include:
- 5+ years of experience with a BSEE or related field;
- Strong foundation in digital signal processing, comms theory, and system engineering with emphasis in direction finding algorithm implementation;
- Hands-on experience with direction finding, angle-of-arrival estimation, and multi-antenna signal processing;
- Strong experience with DSP implementation for embedded devices including FPGA, Nvidia Jetson, and Software Defined Radios and/or software defined radios;
- Strong knowledge of Python and MATLAB;
- Experience with CUDA or GPU accelerated frameworks like cuSignal is preferred;
- Familiar with deep learning algorithms;
- Familiar with wireless communication standards (Bluetooth, 3G/4G/5G, Wi-Fi, SINCGARS, MUOS, etc.).
Preferred qualifications include:
- Masters or PhD degree in Electrical, Electronics, Computer Engineering, or related fields;
- Experience with ML frameworks such as TensorFlow and PyTorch;
- 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.