Careers

“Interning at DeepSig is an amazing experience. Everyone is incredibly supportive, making me feel like a true part of the team from the start. I am really thankful for all the guidance and encouragement I receive—it makes my time here not only educational but also really enjoyable.”

SerhatDSP and Machine Learning Intern

“I am proud to be part of a company that is driving innovation in such a critical industry. The work we do here at DeepSig is making a tangible impact, and it's incredibly rewarding to know that I am contributing to something that is shaping the future of wireless technology. If you're looking for a dynamic, forward-thinking workplace where you can grow both personally and professionally, DeepSig is the place to be.”

MarielaMarketing and Communications Manager

“DeepSig has given me the opportunity to work with a world-class group of experts in signal processing, machine learning, and software-defined radio. Before joining DeepSig, I had met most of the team at various conferences related to software-defined radio, and I had used and admired the results of their work outside of DeepSig. I had been using GNURadio as my software-defined radio development platform, and I was aware that several of the early employees of DeepSig had contributed to that platform. I really looked up to these individuals for making a useful platform for experimentation and releasing their results publicly as open-source software. Similarly, Tim O'Shea (now DeepSig's CTO) released some code in 2016 that was the first published application of machine learning techniques to radio signals, and after hearing about this from Tim at a conference, my imagination was immediately captivated. I had spent months refining algorithms to perform modulation recognition and parameter estimation, but Tim's early work revealed a different path in which I simply record data from a software-defined radio and then didn't have to write the detection and estimation algorithms myself! They were instead automatically generated from a training process that consumed the recorded data and produced working algorithms. Once I was hooked on this idea, I shifted all of my available research effort to using the methods that Tim had brought to the domain of wireless signal processing. A year later, I heard that this team of experts I had admired so much were forming a company with the goal of commercializing machine learning for wireless signal applications. I immediately thought to myself that I wanted to be a part of what they were doing. Not only did I believe that this approach was the future of wireless signal processing, but I also wanted to work with these people I admired so much. Over the next several years, I kept running into employees of DeepSig at events such as conferences, and made it known to them that I'd love to be a part of what they were doing. It took some time for priorities to align, but in 2020 I left my previous position to come work with these experts I now have the privilege of calling my friends and colleagues. I'm proud to say that I'm part of a team that is building the future of wireless signal processing, and there is no place I'd rather be.”

RajPrincipal Engineer