Machine Learning DSP Engineer

What You’ll Be Doing: 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

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 Bonus 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 TensorRTProficiency in C++ and/or CUDAWorking at Deep Sigcompetitive salaries and benefitsemployee stock option grant programenvironment where we are excited to be transforming and disrupting how signal processing is done with AI/MLwelcoming and inclusive environmentflexible schedulegreat work / life balance Equal Opportunity Deep Sig is an equal-opportunity employer and does not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We are dedicated to cultivating an inclusive, diverse, and engaging workplace where individuals feel fulfilled, inspired, and motivated. We value the unique perspectives that our team brings.