About the Company/Team

VectorWave Corporation is a venture-backed startup building the first-ever analog AI hardware accelerator developed specifically for wireless communications, launched from the research from the MIT Quantum Photonics + AI Group. This endeavor entails cross-disciplinary collaboration between wireless engineering, signal processing, applied physics, and machine learning. This is a unique opportunity to combine your technical expertise with your creativity to realize designs for a completely new type of wireless processor. We are building a team of engineers who are excited to transform the future of 5G and 6G!

About the Role

This focus of the RF signal processing / machine learning role entails adapting your existing expertise in wireless communications into designs that can be exploited by the physics of our analog AI hardware accelerator. You will have the freedom to design your own combination of traditional signal processing techniques and RF machine learning into our hardware architecture to implement the necessary functionalities of our system. You will also work closely with the team to augment the performance and adaptability of such functionalities and with the analog hardware architect to collaboratively design translations of signal processing / machine learning into our hardware architecture.

Required skills: • Mastery of traditional signal processing techniques (e.g. LTI framework, signal estimation, Fourier transform manipulations, matched filtering, hypothesis testing) • Experience of successfully training ML models for RF signal processing tasks (e.g. device fingerprinting, signal classification, waveform synthesis) • Familiarity working with typical RF hardware components and measurement equipment • Understanding of wireless channel propagation modeling Preferred / Learn-on-the-job skills: • Mastery of signal separation and/or signal cancellation techniques • Experience setting up over-the-air experimental wireless measurements • Experience implementing trained RF machine learning models on real hardware • Familiarity generating 4G/LTE/5G signals and understanding their structure and standards • Familiarity working with SDRs and transmit/receiver systems • Familiarity with RF hardware data acquisition and generating characterization data