Machine Learning DSP Engineer

DeepSig Inc•Arlington, VA

32d•Hybrid

About The Position

DeepSig Inc. is seeking a Full-time Machine Learning DSP Engineer who will help combine elements of software digital signal processing and software-defined modems with state of the art machine learning techniques to create the next generation of AI-Native wireless communications systems in simulation and in real deployed products at scale. This person will be responsible for developing and validating machine learning and communications system algorithms and software across modem and/or wireless sensing system solutions.

Requirements

MS or PhD in Electrical/Computer Engineering, Computer Science, or related field
Proficient in at least one programming language (Python preferred)
Familiarity with at least one of the Deep Learning frameworks (e.g. – PyTorch, Tensorflow etc.)
Experience in one or more of the following areas: Deep Learning, RF Sensing, Statistical Signal Processing, Wireless Systems fundamentals, Time/Frequency analysis of signals
Ability to work on open ended problems, building candidate solutions and coming up with appropriate metrics for comparison
Strong communication and teaming skills to work collaboratively and productively in a small company environment

Nice To Haves

Experience with advanced signal processing concepts such as multirate signal processing, polyphase filterbanks etc.
Prior experience in building Deep Learning models for edge deployment
Familiarity with TensorRT
Proficiency in C++ and/or CUDA

Responsibilities

Build cutting edge Machine Learning models for RF sensing applications
Keep up with the latest developments in the field of Machine Learning and assess their viability for RF sensing applications
Utilize both Software and DSP techniques to optimize training and inference pipelines
Work closely with product managers and business development teams to improve our RF sensing capabilities based on customer feedback
Working with real-world RF datasets and ML driven RF systems which are unique and unrivaled anywhere else in the world