Role OverviewAs a Machine Learning DSP Engineer, you 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.
What You Will Do
You will build cutting-edge Machine Learning models for RF sensing applications, keep up with the latest developments in the field of Machine Learning, and utilize both Software and DSP techniques to optimize training and inference pipelines.
Why It Might Be a Fit
This role requires strong communication and teaming skills, ability to work on open-ended problems, and proficiency in at least one programming language (Python preferred) and one Deep Learning framework (e.g. PyTorch, Tensorflow).
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
Benefits
- Competitive salaries
- Employee stock option grant program
- Flexible schedule
- Great work / life balance
- Welcoming and inclusive environment
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