Destinus is revolutionizing the defense industry through their work on cutting-edge Unmanned Aerial Vehicles (UAVs). As a Radar Software Engineer, you'll be working at the intersection of advanced hardware and next-generation software, developing radar systems and signal processing algorithms. The role involves designing and implementing sophisticated algorithms for radar signal processing, working with embedded systems and GPUs, and collaborating across hardware and software teams.
You'll be responsible for simulating and optimizing algorithms in Python, implementing radar signal processing solutions, and working on distributed compute architectures. The position requires expertise in digital signal processing, proficiency in Python and C++, and experience with modern ML frameworks like PyTorch or TensorFlow. You'll be working with software-defined radio and performance optimization tools, while knowledge of FPGA and Verilog would be advantageous.
The ideal candidate should have a strong foundation in radar signal theory and be comfortable working in both time and frequency domains. You'll need to excel at optimizing algorithms for performance, accuracy, and robustness, while being able to transform complex, noisy signals into actionable outputs. The role demands someone who can effectively communicate across multidisciplinary teams and thrive in an environment that requires both precision and rapid iteration.
At Destinus, you'll be part of a global innovation hub, collaborating with top engineers worldwide. The company offers the opportunity to work on revolutionary aerospace projects that have real-world impact. As an equal-opportunity employer, Destinus values diversity and maintains an inclusive work environment. This is an excellent opportunity for someone passionate about aerospace innovation and eager to contribute to the future of flight technology.