RF Signal Processing/Machine Learning Engineer (Focus 2)

About VectorWave

VectorWave is a venture-backed startup building the first-ever analog AI hardware accelerator developed specifically for wireless communications. 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 small but highly skilled core team of engineers who are excited to transform the future of 5G and 6G!

The salary range for all roles is $120k-$200k depending on experience, seniority, and skillsets. We offer competitive compensation including equity, bonuses, and market leading medical, dental, and vision benefits. This position entails hybrid in-person/remote work in the Boston/Cambridge area. While a physical presence in the Boston area is preferred, we are open to discussing potential fully-remote positions.

VectorWave Corporation is an Equal Employment Opportunity (EEO) employer. No applicant will be discriminated against on the basis of race, color, religion, sex, parental status, national origin, age, disability, genetic information, or other non-merit based factors.

Responsibilities

This focus of the RF signal processing / machine learning role entails using your expertise in wireless communications to design protocols, processes, and methods to enable analog signal processing functionalities in dynamic wireless environments. Given this new domain of analog signal processing, you will explore various channel estimation techniques and find creative methods to implement them into our hardware architecture. You will also work closely with the team to ensure that the signal processing and AI techniques adapt to dynamic wireless environments while working with the analog hardware architect to collaboratively design such solutions to work with our hardware.

Required skills

·       Mastery of conducting over-the-air experimental wireless measurements

·       Mastery of wireless channel propagation models and receiver techniques

·       Experience with RF hardware data acquisition and generating characterization data

·       Experience developing and implementing real-time channel estimation techniques (e.g. independent component analysis, principal component analysis, rake receivers)

Preferred / Learn-on-the-job skills

·       Mastery of signal separation and/or signal cancellation techniques

·       Experience using both traditional and machine learning methods for channel estimation

·       Familiarity generating 4G/LTE/5G signals and understanding their structure and standards

·       Familiarity working with SDRs and transmit/receiver systems